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At PwC, our people in managed services focus on a variety of outsourced solutions and support clients across numerous functions. These individuals help organisations streamline their operations, reduce costs, and improve efficiency by managing key processes and functions on their behalf. They are skilled in project management, technology, and process optimization to deliver high-quality services to clients. Those in managed service management and strategy at PwC will focus on transitioning and running services, along with managing delivery teams, programmes, commercials, performance and delivery risk. Your work will involve the process of continuous improvement and optimising of the managed services process, tools and services. Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Apply a learning mindset and take ownership for your own development. Appreciate diverse perspectives, needs, and feelings of others. Adopt habits to sustain high performance and develop your potential. Actively listen, ask questions to check understanding, and clearly express ideas. Seek, reflect, act on, and give feedback. Gather information from a range of sources to analyse facts and discern patterns. Commit to understanding how the business works and building commercial awareness. Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements. Job Description Job Title: .NET + Azure Developer (MVC, .NET Core, .NET Core Web API, Blazor, React) Location: Hyderabad/Bangalore Position Type: [Full-time/Contract] Job Summary We are seeking a skilled and versatile .NET + Azure Developer with expertise in .NET MVC, .NET Core, .NET Core Web API , and modern web technologies such as Blazor, React, and JavaScript . The ideal candidate should be proficient in C# , with a strong understanding of cloud technologies, particularly Azure PaaS services like Azure Functions and Azure Service Bus . Familiarity with incident management processes and ServiceNow is also essential. You will be responsible for developing, maintaining, and optimizing applications and services while working closely with cross-functional teams to meet business objectives. Key Responsibilities Develop and maintain applications using .NET MVC, .NET Core, .NET Core Web API, and Blazor. Implement front-end functionality using React, JavaScript, and other relevant technologies. Design and optimize relational databases using SQL and develop stored procedures. Utilize Azure PaaS services including Azure Functions and Azure Service Bus to build scalable cloud-based solutions. Develop RESTful APIs using .NET Core Web API and ensure integration with front-end applications. Write clean, maintainable, and efficient C# code. Collaborate with product managers, designers, and other developers to ensure software meets business requirements. Troubleshoot and resolve issues in production environments. Provide solutions for incident management, ensuring prompt resolution of incidents. Contribute to continuous improvement by identifying and suggesting enhancements to processes, tools, and systems. Adhere to best practices for coding, testing, and deployment. Participate in regular team meetings, reviews, and knowledge-sharing sessions. Required Qualifications Proficiency in C# and experience with .NET MVC, .NET Core, and .NET Core Web API. Strong knowledge of Blazor, React, and JavaScript. Experience in designing and querying SQL-based databases. Familiarity with Azure PaaS services, specifically Azure Functions and Azure Service Bus. Experience developing and consuming RESTful APIs. Experience with incident management processes, including familiarity with ServiceNow. Strong problem-solving skills and ability to work independently. Strong communication skills, with the ability to gather requirements and interact effectively with clients on a day-to-day basis. Ability to thrive in a fast-paced, team-oriented environment under a Managed Services Environment. Preferred Qualifications Familiarity with CI/CD pipelines and DevOps tools. Knowledge of Azure DevOps or similar platforms. Experience with containerization technologies like Docker. Knowledge of Agile methodologies. Education And Experience Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent work experience). 3+ years of hands-on experience as a .NET Developer or similar role. Why Join Us? PwC offers a dynamic, fast-paced work environment where innovation thrives. Opportunity to work with cutting-edge technologies in cloud computing and web development. Collaborative culture with opportunities for professional growth and career advancement. Competitive compensation package and benefits. This version highlights .NET Core Web API explicitly while ensuring the role reflects both .NET and Azure development expertise . Let me know if you’d like any further refinements!

Company Description ABOUT IQ-EQ We’re a leading Investor Services group offering end-to-end services in administration, accounting, reporting, regulatory and compliance needs of the investment sector worldwide. We employ a global workforce of 5,800+ people across 25 jurisdictions and have assets under administration (AUA) exceeding US$750 billion. We work with 13 of the world’s top 15 private equity firms. Our services are underpinned by a Group-wide commitment to ESG and best-in-class technology including a global data platform and innovative proprietary tools supported by in-house experts. Above all, what makes us different is our people. Operating as trusted partners to our clients, we deliver intelligent solutions through a combination of technical expertise and strong relationships based on deep client understanding. We’re driven by our Group purpose, to power people and possibilities. Job Description IQ-EQ is seeking a highly skilled Senior Business Intelligence Developer to join our Product Team. The ideal candidate will have extensive experience in developing and maintaining Tableau dashboards, proficiency in SQL Server Reporting Services (SSRS), and a strong background in API development. This role is pivotal in providing data-driven insights and solutions to support the US Fund Administration group. Key Responsibilities Design, develop, and enhance sophisticated Tableau dashboards to visualize complex financial data effectively. Collaborate with stakeholders to understand business requirements and translate these into detailed analytical reports and dashboards. Create and maintain SSRS reports to meet evolving business reporting needs. Develop, test, and implement APIs to facilitate efficient data integration and streamlined data workflows. Monitor and optimize performance, ensuring high availability, accuracy, and reliability of dashboards and reports. Provide expert guidance, support, and training to internal teams and end-users. Stay abreast of industry best practices, identifying opportunities for innovation and continuous improvement. Qualifications Bachelor’s degree or higher in Computer Science, Information Systems, or a related field. Minimum of 5+ years of professional experience specializing in Business Intelligence and Data Analytics. Demonstrated expertise in creating advanced Tableau dashboards. Proficiency in SSRS, SQL querying, and data analysis. Experience in API development, including RESTful API integration and management. Exceptional analytical skills, attention to detail, and ability to work with complex datasets. Excellent communication skills, capable of interacting with technical and non-technical stakeholders. Preferred Prior experience in financial services, particularly fund administration or private equity. Knowledge of other visualization tools such as Power BI. Familiarity with data warehouse concepts, ETL processes, and cloud platforms (AWS/Azure/GCP). Relevant professional certifications a plus (e.g., Tableau Certified Professional, Microsoft BI certification). Additional Information OUR COMMITMENT TO YOU AND THE ENVIRONMENT As a forward-looking business, sustainability is integral to our strategy and operations. Our sustainability depends on us building and maintaining meaningful, long-term relationships with all our stakeholders – including our employees, clients, and local communities – while also reducing our impact on our natural environment. There is always more we can, and should do, to improve – whether in relation to our people, our clients, our planet, or our governance. Our ongoing success as a business depends on our sustainability and agility in a changing and challenging global landscape. We’re committed to fostering an inclusive, equitable and diverse culture for our people, led by our Diversity, Equity, and Inclusion steering committee. Our learning and development programmes and systems (including PowerU and MyCampus) enable us to invest in growing our employees’ careers, while our hybrid working approach supports our employees in achieving balance and flexibility while remaining connected to their colleagues. We want to empower our 5,500+ employees - from 94 nationalities, speaking 41 languages across 25 countries - to each achieve their potential. Through IQ-EQ Launchpad we support female managers launching their first fund, in an environment where only 15% of all private equity and venture capital firms are gender balanced. We’re committed to growing long-term relationships with our clients and supporting them in achieving their objectives. We understand that our clients' sustainability and success leads to our sustainability and success. We’re emotionally invested in our clients right from the beginning.

Minimum qualifications: Bachelor's degree in a research or quantitative field, or equivalent practical experience. 7 years of experience designing, scoping, and executing research and analysis projects. 7 years of experience translating business problems into research questions and translating research findings and insights into marketing recommendations. Experience managing research and measurement agencies. Preferred qualifications: 10 years of experience as a marketing analyst using statistical techniques. 5 years of experience with statistical modeling and advanced measurement/analysis techniques (e.g., regression analysis, geo-experimentation, brand/conversion lift measurement, machine learning algorithms). 5 years of experience with leading a team and people management. Experience with data querying languages (e.g., SQL) and tools to work with large complex data sets, and programming languages (e.g., Python) to run analysis. Experience in using data for storytelling and presenting complex research findings to both technical and non-technical audiences and using analytical insights to guide media planning. About The Job Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations. Responsibilities Lead a team of individuals, set and communicate team priorities that support organizational goals. Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals and meet regularly with individuals to discuss performance and development, and provide feedback and coaching. Use your knowledge of data analytics to develop comprehensive strategies for marketing challenges, uncovering opportunities for measurement and optimization to drive incremental brand and performance growth. Lead marketing-wide opportunities such as evaluating, launching and managing new tools and processes, driving cross-functional collaboration. Build measurement plans and consolidate reporting metrics and benchmarks for our largest campaigns to understand the incremental impact of our marketing dollars. Analyze campaign results and report the media effectiveness across all stakeholder groups and influence business decision-making through compelling use of data and impactful communication. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Job Title: Data Engineer – C11/Officer (India) The Role The Data Engineer is accountable for developing high quality data products to support the Bank’s regulatory requirements and data driven decision making. A Data Engineer will serve as an example to other team members, work closely with customers, and remove or escalate roadblocks. By applying their knowledge of data architecture standards, data warehousing, data structures, and business intelligence they will contribute to business outcomes on an agile team. Responsibilities Developing and supporting scalable, extensible, and highly available data solutions Deliver on critical business priorities while ensuring alignment with the wider architectural vision Identify and help address potential risks in the data supply chain Follow and contribute to technical standards Design and develop analytical data models Required Qualifications & Work Experience First Class Degree in Engineering/Technology (4-year graduate course) 5 to 8 years’ experience implementing data-intensive solutions using agile methodologies Experience of relational databases and using SQL for data querying, transformation and manipulation Experience of modelling data for analytical consumers Ability to automate and streamline the build, test and deployment of data pipelines Experience in cloud native technologies and patterns A passion for learning new technologies, and a desire for personal growth, through self-study, formal classes, or on-the-job training Excellent communication and problem-solving skills Technical Skills (Must Have) ETL: Hands on experience of building data pipelines. Proficiency in two or more data integration platforms such as Ab Initio, Apache Spark, Talend and Informatica Big Data : Experience of ‘big data’ platforms such as Hadoop, Hive or Snowflake for data storage and processing Data Warehousing & Database Management : Understanding of Data Warehousing concepts, Relational (Oracle, MSSQL, MySQL) and NoSQL (MongoDB, DynamoDB) database design Data Modeling & Design : Good exposure to data modeling techniques; design, optimization and maintenance of data models and data structures Languages : Proficient in one or more programming languages commonly used in data engineering such as Python, Java or Scala DevOps : Exposure to concepts and enablers - CI/CD platforms, version control, automated quality control management Technical Skills (Valuable) Ab Initio : Experience developing Co>Op graphs; ability to tune for performance. Demonstrable knowledge across full suite of Ab Initio toolsets e.g., GDE, Express>IT, Data Profiler and Conduct>IT, Control>Center, Continuous>Flows Cloud : Good exposure to public cloud data platforms such as S3, Snowflake, Redshift, Databricks, BigQuery, etc. Demonstratable understanding of underlying architectures and trade-offs Data Quality & Controls : Exposure to data validation, cleansing, enrichment and data controls Containerization : Fair understanding of containerization platforms like Docker, Kubernetes File Formats : Exposure in working on Event/File/Table Formats such as Avro, Parquet, Protobuf, Iceberg, Delta Others : Basics of Job scheduler like Autosys. Basics of Entitlement management Certification on any of the above topics would be an advantage. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Digital Software Engineering ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

hackajob is collaborating with J.P. Morgan to connect them with exceptional tech professionals for this role. We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within the Consumer and Community Banking Risk Technology team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, equity, inclusion, and respect Required Qualifications, Capabilities, And Skills Formal training or certification on software engineering concepts and 3+ years applied experience Good knowledge on AWS cloud and it's services. Hands-on practical experience in system design, application development, testing, and operational stability Proficient in coding in Java, Scala and Pyspark. Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred Qualifications, Capabilities, And Skills Familiarity with modern front-end technologies Exposure to cloud technologies

hackajob is collaborating with J.P. Morgan to connect them with exceptional tech professionals for this role. We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within the Consumer and community banking technology team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, equity, inclusion, and respect Required Qualifications, Capabilities, And Skills Formal training or certification on software engineering concepts and 3+ years applied experience Hands-on practical experience in system design, application development, testing, and operational stability Proficient in coding in one or more languages Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred Qualifications, Capabilities, And Skills Familiarity with modern front-end technologies Exposure to cloud technologies

hackajob is collaborating with J.P. Morgan to connect them with exceptional tech professionals for this role. We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within Asset and Wealth Management, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Designs, develops, and maintains systems for derivatives order trading, trade flow, and risk management Collaborates with front-end developers to ensure seamless integration between front-end applications and backend systems. Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Work closely with stakeholders to gather requirements and deliver solutions that meet business needs. Adds to team culture of diversity, equity, inclusion, and respect Required Qualifications, Capabilities, And Skills Formal training or certification on software engineering concepts and 3+ years applied experience Hands-on practical experience in system design, application development, testing, and operational stability Proficient in coding in one or more languages Proficient in Java with experience in developing micro services and distributed systems. Understanding of object-oriented programming, data structures, and algorithms Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages. Experience in designing and implementing RESTful APIs AND familiarity with both SQL and NoSQL database technologies. Experience with version control systems like Git. Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred Qualifications, Capabilities, And Skills Familiarity with modern front-end technologies Exposure to cloud technologies particularly AWS, and containerization technologies like Docker and Kubernetes Knowledge of messaging systems such as Kafka or RabbitMQ. Experience with JavaScript and Reactjs for front-end application changes. Knowledge of Python. Familiarity with derivatives platforms like JPM Athena or similar platforms (e.g., Quartz, SecDB). Understanding of financial products, particularly derivatives & familiarity with the trade lifecycle and financial markets.

Description Amazon WWR&R is comprised of business, product, operational, program, software engineering and data teams that manage the life of a returned or damaged product from a customer to the warehouse and on to its next best use. Our work is broad and deep: we train machine learning models to automate routing and find signals to optimize re-use; we invent new channels to give products a second life; we develop world-class product support to help customers love what they buy; we pilot smarter product evaluations; we work from the customer backward to find ways to make the return experience remarkably delightful and easy; and we do it all while scrutinizing our business with laser focus. WWR&R data engineering team at Amazon Hyderabad Development Center is an agile team whose charter is to deliver the next generation of Reverse Logistics data lake platform. As a member of this team, your mission will be to support massively scalable, distributed data warehousing, querying, reporting and decision-support system. We support a fast-paced environment where each day brings new challenges and opportunities. As a Support Engineer, you will play a pivotal role in ensuring the stability, compliance, and operational excellence of our enterprise Data Warehouse (DW) environment. In this role, you will be responsible for monitoring and maintaining production data pipelines, proactively identifying and resolving issues that impact data quality, availability, or timeliness. You’ll collaborate closely with data engineers and cross-functional teams to troubleshoot incidents, implement scalable solutions, and enhance the overall resilience of our data infrastructure. A key aspect of this role involves supporting our data compliance and governance initiatives, ensuring systems align with internal policies and external regulatory standards such as GDPR. You will help enforce access controls, manage data retention policies, and support audit readiness through strong logging and monitoring practices. You’ll also lead efforts to automate manual support processes, improving team efficiency and reducing operational risk. Additionally, you will be responsible for maintaining clear, up-to-date documentation and runbooks for operational procedures and issue resolution, promoting consistency and knowledge sharing across the team. We’re looking for a self-motivated, quick-learning team player with a strong sense of ownership and a ‘can-do’ attitude, someone who thrives in a dynamic, high-impact environment and is eager to make meaningful contributions to our data operations. Basic Qualifications 2+ years of software development, or 2+ years of technical support experience Bachelor's degree in engineering or equivalent Experience troubleshooting and debugging technical systems Experience in Unix Preferred Qualifications Experience with AWS, networks and operating systems Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI HYD 13 SEZ Job ID: A2942488

Job Description We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within the AI\ML & Data Platform team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. Job Responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, opportunity, inclusion, and respect Required Qualifications, Capabilities, And Skills Formal training or certification on security engineering concepts and 3+ years applied experience Hands-on practical experience in system design, application development, testing, and operational stability Hands on experience in Java, Spring, Microservices, No SQL, Cucumber. Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred Qualifications, Capabilities, And Skills Familiarity with modern front-end technologies Exposure to cloud technologies ABOUT US

Job Description We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a PeopleSoft Developer Software Engineer III at JPMorgan Chase within the Commercial & Investment Bank Payments Technology team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. Job Responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, opportunity, inclusion, and respect Required Qualifications, Capabilities, And Skills Formal training or certification on software engineering concepts and 2+ years applied experience Hands-on practical experience in system design, application development, testing, and operational stability Hands on experience as a PeopleSoft Developer or Technical Resource, with PeopleSoft applications, including implementation, customization, and support. Proficiency in PeopleSoft tools and technologies, including PeopleTools, PeopleCode, Application Engine (AE), Integration Broker (IB), Web Services, SQL. Strong understanding of PeopleSoft architecture. Proficiency in SQL and database management systems. Proficient in coding in one or more languages Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred Qualifications, Capabilities, And Skills Experience with PeopleSoft version upgrades and migrations. Knowledge of PeopleSoft security and data management practices. Project management experience or certification. Experience with Python for scripting and automation tasks. Familiarity with Agile development methodologies.

SETV HEALTHCARE TECHNOLOGIES PRIVATE LIMITED Position: Business/Market Analyst Intern Location: Hybrid (Remote + Onsite as required) Employment Type: Internship / Full-Time (based on profile & requirement) Duration: 3 Months Unpaid Internship (with possibility of extension or conversion to paid based on performance) Working Hours: 5 hours/day + 1 hour lunch/dinner break Shift Options: 7:00 PM – 1:00 AM (IST) Company Description: SETV.W , under SETV Global , is a fast-growing AI healthcare venture focused on transforming diagnostics and care pathways through AI-powered tools and platforms. We seek entrepreneurial minds to lead market research, pipeline building, and sales initiatives that fuel our growth in India and global markets. This role is ideal for data-savvy professionals looking to bridge business strategy and hands-on lead generation. Job Summary: We are seeking a highly analytical and results-driven Business Analyst with a core focus on Sales Lead Generation . This hybrid role combines data-driven decision-making with strategic outreach and pipeline development. The ideal candidate will be responsible for identifying and qualifying high-potential leads, supporting outbound sales strategies, and helping drive top-of-the-funnel growth through market research, CRM management, and cross-functional collaboration. Key Responsibilities: Data Analysis & Strategy: Conduct in-depth market research to identify emerging opportunities, high-value segments, and competitor positioning. Analyze CRM data, sales performance metrics, and external trends to shape lead generation strategy. Build dashboards and reporting structures to visualize outreach effectiveness and market engagement. Optimize data collection workflows and lead quality through structured processes and automation. Lead Identification & Qualification: Identify new leads through tools like LinkedIn Sales Navigator , industry directories , and CRM databases . Score and qualify leads using structured frameworks to align with ICP (Ideal Customer Profile). Update and manage lead records using HubSpot , Salesforce , or equivalent CRMs with accuracy. Outreach & Nurturing: Initiate contact through email, phone, LinkedIn, or WhatsApp with tailored messaging across personas. Develop and refine outreach scripts, cadences, and templates to improve engagement and conversion. Track outreach interactions, follow-ups, and funnel progression, moving leads from MQL to SQL status. Support appointment setting, demo booking, and initial client communication in collaboration with sales teams. Collaboration & Optimization: Coordinate with marketing, inside sales, and product teams to ensure smooth handover of qualified leads. Act as a liaison between technical teams and business goals to refine lead generation processes. Track KPIs including MQL to SQL conversion , email open rates , response rates , and pipeline growth . Research new tools, best practices, and channels for continuous improvement. Qualifications: Bachelor’s degree in Business, Marketing, IT, Computer Science, or related fields. Master’s preferred. Prior experience in Business Analysis, SDR, or Lead Generation roles (1–3 years preferred). Strong understanding of data modeling, analytics, and sales metrics. Hands-on experience with CRM tools ( HubSpot , Salesforce ), and BI tools ( Tableau , Power BI ). Familiarity with SQL or data querying techniques is an advantage. Outstanding communication, interpersonal, and presentation skills. Proven track record of lead generation success and proactive pipeline contribution. Skills: Analytical Skills: Data analysis Market research Lead qualification Financial/statistical analysis Sales & Marketing: Prospecting Cold outreach Email marketing Social selling Lead nurturing Funnel optimization Technical Skills: CRM systems: HubSpot , Salesforce BI tools: Power BI , Tableau SQL basics LinkedIn Sales Navigator Advanced Excel JIRA/Confluence (for process flows) Soft Skills: Communication (written & verbal) Active listening & empathy Problem-solving & adaptability Organization & time management Negotiation & relationship building Initiative & self-motivation Domain Knowledge: Familiarity with Healthcare , HealthTech , AI , or Startup ecosystems is a strong plus. Selection Process (3 Rounds): Resume Screening – Review based on experience, alignment, and performance metrics. Technical/Strategic Interview – Evaluate business understanding, sales approach, and analytical thinking. Founding Office Interview(Optional) – Assess leadership mindset, cultural fit, and ability to drive impact in a fast-paced environment. What We Offer: Real-World Exposure: Hands-on experience in a fast-growing health AI startup. Mentorship: Regular interaction with founders and senior strategy leads. Career Growth: Path to full-time strategic roles based on contribution. Learning Environment: Access to industry insights, modern tools, and live campaigns. Performance Incentives: Conversion opportunities, certification, and loyalty points.

For over 30 years, Beghou Consulting has been a trusted adviser to life science firms. We combine our strategic consulting services with proprietary technology to develop custom, data-driven solutions that allow life sciences companies to take their commercial operations to new heights. We are dedicated to client service and offer a full suite of consulting and technology services, all rooted in advanced analytics, to enhance commercial operations and boost sales performance. Purpose of Job This role offers an exciting opportunity to leverage healthcare data and advanced analytics to optimize pharmaceutical commercial engagement, driving strategic insights that enhance sales performance, marketing effectiveness, and customer engagement across therapeutic areas We'll trust you to: Commercial Analytics & Strategy Conduct customer segmentation and targeting analyses to identify high-value healthcare providers and optimize customer engagement strategies Develop and implement sales force sizing models to determine optimal representative headcount across territories and therapeutic areas Design and execute territory alignment and optimization projects to maximize market coverage and sales potential Perform personnel placement analytics to match sales representative capabilities with territory characteristics and customer needs Create call planning optimization models to prioritize customer interactions and maximize sales force effectiveness Sales Performance & Launch Planning Analyze sales performance data to identify trends, opportunities, and areas for improvement across territories and product lines Conduct competitive intelligence analysis to inform positioning and go-to-market strategies Support launch planning and post-launch performance tracking for new pharmaceutical products Client Engagement Collaborate with pharmaceutical clients to understand their commercial challenges and strategic objectives Present findings and recommendations to commercial leadership teams through clear, actionable reports and presentations Maintain strong client relationships through high-quality deliverables and responsive communication Technical Execution Extract, clean, and manipulate large commercial and healthcare datasets including sales data, prescription data, and customer interaction records Develop automated analytical workflows for territory optimization, call planning, and sales performance tracking Create interactive dashboards and visualizations to monitor key commercial metrics and KPIs Build predictive models for customer behavior, sales forecasting, and territory performance optimization Project Management Manage multiple concurrent commercial analytics projects while meeting tight deadlines Collaborate effectively with cross-functional teams including sales operations, marketing, and business development professionals Contribute to commercial analytics methodology development and best practice documentation You'll need to have: Bachelor’s or Master's degree in Business Analytics, Marketing Analytics, Operations Research, Statistics, or related quantitative field Minimum 2+ years of professional experience in commercial analytics, pharmaceutical sales operations, or related consulting environment Demonstrated experience working with commercial datasets such as sales data, prescription data, customer interaction data, or CRM systems Advanced proficiency in statistical programming languages including SAS, R, and/or Python Strong SQL skills for database querying and data manipulation Strong skills for creating statistical models in Excel Experience with data visualization tools (Tableau, Power BI, or similar) and presentation development (PowerPoint) Knowledge of statistical analysis methods, optimization techniques, and predictive modeling Familiarity with CRM systems (Salesforce, Veeva) and commercial analytics platforms preferred Deep understanding of pharmaceutical commercial operations including sales force management, territory design, and customer engagement Strong problem-solving abilities with focus on commercial optimization challenges Ability to translate complex analytical concepts into actionable commercial strategies Critical thinking and hypothesis-driven approach to sales performance and market analysis Ability to present analytical findings to commercial leadership and field teams Client service orientation with focus on quality deliverables Ability to work independently and manage competing priorities What you should know: · We treat our employees with respect and appreciation, not only for what they do but who they are. · We value the many talents and abilities of our employees and promote a supportive, collaborative, and dynamic work environment that encourages both professional and personal growth. · You will have the opportunity to work with and learn from all levels in the organization, allowing everyone to work together to develop, achieve, and succeed with every project. · We have had steady growth throughout our history because the people we hire are committed not only to delivering quality results for our clients, but also to becoming leaders in sales and marketing analytics.

Description - External At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role? Join Team Amex and let's lead the way together. About the Team American Express is on a journey to provide the world’s best customer experience every day. The Commercial Data Office (CoDO) team, within Global Commercial Services (GCS), is focused on powering the best customer experience and business growth through streamlined data. With continuous changes in the regulatory environment and innovation through data evolving, we play a key role in strengthening GCS critical enablers and supporting new growth opportunities. In partnership with the Enterprise Chief Data Office and across GCS, CoDO is tasked with building new, innovative data solutions for our customers, while adhering to regulations and data management standard methodologies. The team’s scope is comprised of 3 pillars: Drive Strategic Growth & Revenue –Defining the vision and roadmap to transform data as a key asset to power business growth. Modernize Data Management –Ongoing data management, data discovery and collaboration across Global Commercial Services Ensure Health of the Commercial Business – Striving for 100% reliability of current data platforms and capabilities while developing more agility and scalability for the future Purpose of the Role This role would be focused on solutioning for GCS Data governance, Data Quality (DQ), and managing DQ Issues. This would involve partnering with stakeholders/GCS teams to gather requirements; performing Root Cause Analysis via data mining and analysis, identifying process gaps or monitoring existing solutions; proposing and presenting the possible solutions to the leaders/stakeholders and if required, working with technology for development of scalable Data Quality solutions. Responsibilities Accountable for the necessary remediation of data quality Issues originating from business processes and accountable for notifying key stakeholders on remediation activities Ensure data quality Issues are captured, managed, and have a plan for remediation that is thorough, complete, and timely to ensure a comprehensive fix is completed. Writing and executing SQL and python scripts to analyze/profile data and solution for data quality issues in a big data environment and propose robust data quality controls. Knowledge of business data and systems that your domain/business unit produce and consume. Participate in project meetings and communicate effectively with leaders, peers, architects, system analysts, project managers & others, reporting project status as required. Utilize data quality and data profiling tools to solution for DQ framework/issue. Understand, gather, and translate project/user requirements into well-defined features/user stories with testable acceptance criteria, via collaboration with multiple stakeholders on requirements and prioritization Work closely with the technology team to develop, test and deliver the defined deliverables. Perform Unit Acceptance Testing (UAT) before accepting the stories. Raise if any bugs/gaps are identified and get that fixed with technology team. Provide proactive solutioning to any sprint blockers. Understanding of data management concepts and practices such as data security, data quality, meta data. Responsible for building scalable data Quality frameworks for enterprise projects. Minimum Qualifications: Business Outcomes: Deliver high quality & accurate Data Quality solutioning within deadlines. Understanding the gaps and remediating the same as per business requirements. Accountable for the Agile delivery framework. Tracking progress and sharing project updates to ensure stakeholder satisfaction. Academic Background & Past Experience MBA or Bachelor/Advanced degree in science, computer science, information technology, information management 2-5 years of relevant experience as product/business analyst Functional Skills/Capabilities Strong stakeholder management and excellent written & verbal communication. Experience in requirement gathering, product management, backlog creation, project tracking and comprehensive documentation. Experience with Agile Scum process and principles and actively leading Agile ceremonies (Scrum, Grooming, Retrospective) Ability to multi-task with high precision & quality delivery. Ability to independently drive, track and ensure accurate delivery. Technical Skills/Capabilities Strong SQL/Python and MS Excel- data querying and analysis. JIRA for User Stories and Agile Scrum Management. Confluence, MS Word & PowerPoint for documentation. MS Excel knowledge and SQL/Hive for data analysis. ML experience a plus but not compulsory. Understanding of Data Governance, Data Quality, Data lineage, and Data Transformation is a plus. Preferred Qualifications: A good balance of technical knowledge and business acumen. Compliance Language We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

Description Staff Software Engineer Chennai, India The Opportunity: Anthology delivers education and technology solutions so that students can reach their full potential and learning institutions can thrive. Our mission is to empower educators and institutions with meaningful innovation that’s simple and intelligent, inspiring student success and institutional growth. The Power of Together is built on having a diverse and inclusive workforce. We are committed to making diversity, inclusion, and belonging a foundational part of our hiring practices and who we are as a company. For more information about Anthology and our career opportunities, please visit www.anthology.com. This role focuses on Anthology Ally, a revolutionary product that makes digital course content more accessible. As the accessibility of digital course content becomes increasingly important worldwide, institutions must address long-standing and often overbearing challenges. Anthology’s Ally engineering team is responsible for developing industry-leading tools to improve accessibility through inclusivity, sustainability, and automation for all students. As a Staff Software Engineer on our team, you will design, develop, and maintain features of the Ally product. You’ll also communicate and partner cross-functionally with teams in product and software development. In this role, you will work on an ethical product, using Scala for the backend and JavaScript for the frontend. We run our applications in the AWS cloud and use Git for version control. You’ll work on a distributed team, collaborating with colleagues around the globe. The Candidate: Required skills/qualifications: 10-12 years of relevant experience Good abstract and critical thinking skills Familiarity with the full-cycle development process Experience developing, building, testing, deploying, and operating applications Experience working with cloud technologies Awareness of how distributed systems work Strong command of backend programming languages (Java, JavaScript, Python, etc.) Familiarity with relational database design and querying concepts Willingness to break things and make them work again Knowledge of and experience with CI/CD principles and tools (Jenkins or Azure Pipelines) Fluency in written and spoken English Preferred skills/qualifications: Experience leading a team Command line scripting knowledge in a Linux-like environment Knowledge of cloud computing (AWS) Experience with IntelliJ IDEA (or other IDE) Experience with a version control system (Git) Experience with a bug-tracking system (JIRA) Experience with a continuous integration system and continuous delivery practices Functional programming experience such as Haskell or Scala Experience with front-end development or interest in learning (Angular) This job description is not designed to contain a comprehensive listing of activities, duties, or responsibilities that are required. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities at any time. Anthology is an equal employment opportunity/affirmative action employer and considers qualified applicants for employment without regard to race, gender, age, color, religion, national origin, marital status, disability, sexual orientation, gender identity/expression, protected military/veteran status, or any other legally protected factor.

The Role The Data Engineer is accountable for developing high quality data products to support the Bank’s regulatory requirements and data driven decision making. A Mantas Scenario Developer will serve as an example to other team members, work closely with customers, and remove or escalate roadblocks. By applying their knowledge of data architecture standards, data warehousing, data structures, and business intelligence they will contribute to business outcomes on an agile team. Responsibilities Developing and supporting scalable, extensible, and highly available data solutions Deliver on critical business priorities while ensuring alignment with the wider architectural vision Identify and help address potential risks in the data supply chain Follow and contribute to technical standards Design and develop analytical data models Required Qualifications & Work Experience First Class Degree in Engineering/Technology (4-year graduate course) 5 to 8 years’ experience implementing data-intensive solutions using agile methodologies Experience of relational databases and using SQL for data querying, transformation and manipulation Experience of modelling data for analytical consumers Hands on Mantas expert throughout the full development life cycle, including: requirements analysis, functional design, technical design, programming, testing, documentation, implementation, and on-going technical support Translate business needs (BRD) into effective technical solutions and documents (FRD/TSD) Ability to automate and streamline the build, test and deployment of data pipelines Experience in cloud native technologies and patterns A passion for learning new technologies, and a desire for personal growth, through self-study, formal classes, or on-the-job training Excellent communication and problem-solving skills T echnical Skills (Must Have) ETL: Hands on experience of building data pipelines. Proficiency in two or more data integration platforms such as Ab Initio, Apache Spark, Talend and Informatica Mantas: Expert in Oracle Mantas/FCCM, Scenario Manager, Scenario Development, thorough knowledge and hands on experience in Mantas FSDM, DIS, Batch Scenario Manager Big Data: Experience of ‘big data’ platforms such as Hadoop, Hive or Snowflake for data storage and processing Data Warehousing & Database Management: Understanding of Data Warehousing concepts, Relational (Oracle, MSSQL, MySQL) and NoSQL (MongoDB, DynamoDB) database design Data Modeling & Design: Good exposure to data modeling techniques; design, optimization and maintenance of data models and data structures Languages: Proficient in one or more programming languages commonly used in data engineering such as Python, Java or Scala DevOps: Exposure to concepts and enablers - CI/CD platforms, version control, automated quality control management Technical Skills (Valuable) Ab Initio: Experience developing Co>Op graphs; ability to tune for performance. Demonstrable knowledge across full suite of Ab Initio toolsets e.g., GDE, Express>IT, Data Profiler and Conduct>IT, Control>Center, Continuous>Flows Cloud: Good exposure to public cloud data platforms such as S3, Snowflake, Redshift, Databricks, BigQuery, etc. Demonstratable understanding of underlying architectures and trade-offs Data Quality & Controls: Exposure to data validation, cleansing, enrichment and data controls Containerization: Fair understanding of containerization platforms like Docker, Kubernetes File Formats: Exposure in working on Event/File/Table Formats such as Avro, Parquet, Protobuf, Iceberg, Delta Others: Basics of Job scheduler like Autosys. Basics of Entitlement management Certification on any of the above topics would be an advantage. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Digital Software Engineering ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

Overview Prodapt is looking for a Software Engineer (AI/ML) position with 4 - 6 years of experience, well versed in implementing & integrating AI applications. Responsibilities Cloud Environment Setup & Integration Single Sign-On (SSO) Cosmos platform for LLM/workflow integration Logging, monitoring, and security services. Deploy solution on Azure. RAG Pipeline Development Build a RAG pipeline to ingest and analyze AuditBoard reports (PDF, text, etc.). Enable querying and LLM-based summarization. User Interface Interactive querying Result visualization Report generation/export Develop an intuitive UI to support Requirements Experience: 4-6 years Key Skills: Python, LLM/RAG concepts. Azure Cloud experience (or equivalent cloud). Data ingestion, document parsing (PDF, text). REST API and basic UI development (React, Streamlit, etc.). Understanding of security and integration patterns (OAuth/SSO preferred).

hackajob is collaborating with J.P. Morgan to connect them with exceptional tech professionals for this role. We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within the AI ML & Data Platfrom team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, equity, inclusion, and respect Required Qualifications, Capabilities, And Skills Formal training or certification on Software engineering concepts and 3+ years applied experience Hands-on practical experience in system design, application development, testing, and operational stability Proficient in coding in Java programming Language with AWS Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred Qualifications, Capabilities, And Skills Familiarity with modern front-end technologies Exposure to cloud technologies About Us JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You’ll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.

We are Hiring For Data Migration & Modernization Engineer at Coforge Ltd. Work Mode: This is a full-time onsite role. Candidates must be available to work 5 days a week from our ODC . We are looking for a skilled Data Migration & Modernization Engineer to lead and support enterprise-level data transformation initiatives. The ideal candidate will have deep expertise in legacy data assessment, modern cloud-based data architecture, and hands-on experience with AWS migration and ETL tools. Experience Required:- 8 to 12 Years Job Location:- Greater Noida. Please share your CV to Gaurav.2.Kumar@coforge.com WhatsApp 9667427662 for any queries. Job Description:- Job Title: Data Migration & Modernization Engineer. Employment Type: Full-Time. About the Role: We are looking for a skilled Data Migration & Modernization Engineer to lead and support enterprise-level data transformation initiatives. The ideal candidate will have deep expertise in legacy data assessment, modern cloud-based data architecture, and hands-on experience with AWS migration and ETL tools. Key Responsibilities: Data Discovery & Assessment Inventory and analyze legacy data assets including files, databases, and batch outputs. Evaluate and document data types, structures, and interrelationships. Migration Strategy & Execution Define and implement migration approaches: lift-and-shift or transform-and-load. Develop data mapping rules to align legacy fields with new schemas. Plan and execute data cutover strategies: real-time sync, phased loads, or big-bang migrations. Modern Data Architecture Design and implement modern data solutions (e.g., migration to DynamoDB). Define and build data lakes, warehouses, or lakehouses using AWS services. Data Ingestion & Quality Build scalable data ingestion frameworks. Perform data cleansing and ensure compliance with data governance and regulatory standards. Tools & Technologies Strong proficiency in SQL and Python for data querying, validation, and profiling. Experience with AWS DMS for data migration. Hands-on experience with ETL/ELT tools such as AWS Glue, Informatica, and Talend. Required Qualifications: Proven experience in data migration and modernization projects. Strong understanding of relational and non-relational data models. Expertise in AWS cloud services and modern data architecture. Excellent analytical and problem-solving skills. Ability to work independently and collaboratively in a fast-paced environment.

ABOUT SPINNY Spinny is a leading full-stack pre-owned car platform in India, dedicated to making car buying and selling simple, transparent, and trustworthy. With a customer-first approach, we leverage technology, deep operational expertise, and data-driven solutions to deliver a seamless experience for both buyers and sellers. With a presence across major cities and a rapidly expanding network, Spinny is redefining how India buys and sells pre-owned cars. Backed by top global investors such as Tiger Global, ADQ, Avenir, Accel and Elevation Capital, we are on a mission to transform the pre-owned car industry. Our core team comprises IIT and IIM graduates with extensive experience in venture capital, investment banking, management consulting, and e-commerce. For more information, visit www.spinny.com. ABOUT THE ROLE Spinny is looking for a collaborative and results-oriented Associate Technical Program Manager with a real passion for technology. We are a team of tinkerers, builders and dreamers working together towards the mission of making car ownership accessible, simple and delightful. In this role, you will work closely with Product Managers, Engineers, Designers and other business stakeholders to help build and improve products for our customers, employees or partners. KEY RESPONSIBILITIES You will be responsible for overseeing the planning, execution, and delivery of technical projects within an organization. This role involves managing cross-functional teams, aligning project objectives with business goals, and ensuring that projects are completed on time and within budget. Agile Ceremonies: Lead sprint planning, daily standups, reviews/retros, scrum calls. Project Execution: Ownership of sprint progress, managing backlogs, tracking production bugs. Estimation: Use accurate estimation techniques for project timelines. Stakeholder Management: Coordinate effectively with other engineering and business teams. Reports & Dashboards: Generate and analyze project reports and dashboards using JQL, SQL, etc. Workflow Management: Streamline project workflows for efficiency. Technical Skills: Communicate effectively with engineering and product teams. Tools: Apply your expertise in Jira for effective project tracking and management, JQL proficiency is expected. Overall, a Associate TPM plays a critical role in driving the successful execution of technical projects by effectively managing resources, mitigating risks, and facilitating collaboration among team members and stakeholders. DESIRED CANDIDATE PROFILE Should be a combination of technical expertise, project management skills, and leadership qualities: B.Tech/B.E or equivalent degree. 1+ years of project/program management experience in an agile development environment Good problem-solving skills with strong interpersonal & communication skills Strong track record in collaboration and effective Stakeholder Management. Extensive experience in JIRA is a must. Good hold on JQL querying is a strong plus. Strong understanding of technical concepts and principles relevant to the projects being managed is essential. Possess record of delivering results through focused execution and tight project management Have knowledge about confluence, agile methodology (e.g sprint management, backlog tracking, user stories etc.) Professional certifications such as Project Management Professional (PMP) or Certified ScrumMaster (CSM) can be advantageous.

Job Summary: Synechron is seeking a dedicated Finance Analyst to join our team, supporting the financial and accounting functions for the organization and our clients. The role is pivotal in ensuring accurate financial reporting, effective budgeting, and insightful analysis to drive business decisions. This position offers an excellent opportunity for professionals aiming to develop their expertise in finance and accounting within a dynamic, collaborative environment. The Associate contributes directly to the company's financial integrity and client satisfaction by delivering reliable financial data and analysis. Software Requirements: Required: QuickBooks (version 2022 or later) – Proficiency in data entry and reporting SAP (latest version or SAP S/4HANA) – Familiarity with financial modules Oracle Financials (latest release) – Basic navigation and reporting capabilities Preferred: Advanced Excel skills (including PivotTables, VLOOKUP, Macros) Other ERP systems familiarity (e.g., Netsuite, MS Dynamics) Overall Responsibilities: Assist in preparing accurate and timely financial statements, including balance sheets, income statements, and cash flow statements. Support budgeting, forecasting, and financial modeling activities to aid strategic planning. Analyze financial data to identify trends, variances, and areas for improvement, providing actionable insights. Ensure compliance with accounting standards and company policies, staying current with evolving financial regulations. Communicate financial findings effectively to stakeholders, including clients and internal teams, fostering transparency and informed decision-making. Collaborate across departments and with clients to gather necessary data, support audits, and improve financial processes. Technical Skills (By Category): Programming Languages: Required: Not applicable Preferred: Experience with scripting languages (e.g., Python, SQL) for data analysis Databases/Data Management: Required: Basic knowledge of data management tools, experience with Excel and ERP systems Preferred: SQL database querying skills for financial data extraction Cloud Technologies: Required: Basic understanding of cloud-based financial systems Preferred: Experience with cloud platforms (AWS, Azure) for financial data management Frameworks and Libraries: Not applicable directly; focus on accounting/reporting tools Development Tools and Methodologies: Required: Familiarity with standard accounting and reporting practices Preferred: Exposure to agile workflows in finance data projects Security Protocols: Required: Understanding of data confidentiality and compliance standards (e.g., GDPR, SOX) Experience Requirements: Minimum of 1-4 years of professional experience in finance, accounting, or related roles. Hands-on experience with accounting software such as QuickBooks, SAP, or Oracle. Knowledge of financial reporting standards (GAAP, IFRS). Demonstrated ability to work with budgets, forecasts, and financial models is advantageous. Alternative pathways include internships, apprenticeships, or project-based roles in finance. Industry experience in financial services, consulting, or corporate finance preferred but not mandatory. Day-to-Day Activities: Prepare and review financial statements and supporting documentation. Assist in crafting budgets, financial forecasts, and models. Analyze and interpret financial data, highlighting deviations and suggesting improvements. Participate in regular team meetings to coordinate activities and review financial reports. Support internal and external audits, ensuring compliance and data accuracy. Collaborate with cross-functional teams to streamline financial processes. Contribute to decision-making by providing data-driven insights and recommendations. Qualifications: Bachelor's degree in Finance, Accounting, Economics, or related field. Equivalent formal training or certifications (e.g., CPA, CFA) are a plus. Basic training on accounting standards and financial reporting processes. Continuous learning and professional development related to financial tools and regulations. Proven ability to adapt to new systems and processes quickly. Professional Competencies: Strong analytical skills and attention to detail. Excellent verbal and written communication abilities. Ability to work collaboratively within teams and with clients. Problem-solving mindset and adaptability to changing requirements. Ability to manage time efficiently, prioritize tasks, and meet deadlines. Demonstrates integrity, accountability, and a proactive approach to work. S YNECHRON’S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. Candidate Application Notice

Experience : 4.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: TensorFlow, PyTorch, rag, LangChain Forbes Advisor is Looking for: Location - Remote (For candidate's from Chennai or Mumbai it's hybrid) Forbes Advisor is a new initiative for consumers under the Forbes Marketplace umbrella that provides journalist- and expert-written insights, news and reviews on all things personal finance, health, business, and everyday life decisions. We do this by providing consumers with the knowledge and research they need to make informed decisions they can feel confident in, so they can get back to doing the things they care about most. At Marketplace, our mission is to help readers turn their aspirations into reality. We arm people with trusted advice and guidance, so they can make informed decisions they feel confident in and get back to doing the things they care about most. We are an experienced team of industry experts dedicated to helping readers make smart decisions and choose the right products with ease. Marketplace boasts decades of experience across dozens of geographies and teams, including Content, SEO, Business Intelligence, Finance, HR, Marketing, Production, Technology and Sales. The team brings rich industry knowledge to Marketplace’s global coverage of consumer credit, debt, health, home improvement, banking, investing, credit cards, small business, education, insurance, loans, real estate and travel. The Data Extraction Team is a brand-new team who plays a crucial role in our organization by designing, implementing, and overseeing advanced web scraping frameworks. Their core function involves creating and refining tools and methodologies to efficiently gather precise and meaningful data from a diverse range of digital platforms. Additionally, this team is tasked with constructing robust data pipelines and implementing Extract, Transform, Load (ETL) processes. These processes are essential for seamlessly transferring the harvested data into our data storage systems, ensuring its ready availability for analysis and utilization. A typical day in the life of a Data Research Engineer will involve coming up with ideas regarding how the company/team can best harness the power of AI/LLM, and use it not only simplify operations within the team, but also to streamline the work of the research team in gathering/retrieving large sets of data. The role is that of a leader who sets a vision for the future of AI/LLM’s use within the team and the company. They think outside the box and are proactive in engaging with new technologies and developing new ideas for the team to move forward in the AI/LLM field. The candidate should also at least be willing to acquire some basic skills in scraping and data pipelining. Responsibilities: Develop methods to leverage the potential of LLM and AI within the team. Proactive at finding new solutions to engage the team with AI/LLM, and streamline processes in the team. Be a visionary with AI/LLM tools and predict how the use of future technologies could be harnessed early on so that when these technologies come out, the team is ahead of the game regarding how it could be used. Assist in acquiring and integrating data from various sources, including web crawling and API integration. Stay updated with emerging technologies and industry trends. Explore third-party technologies as alternatives to legacy approaches for efficient data pipelines. Contribute to cross-functional teams in understanding data requirements. Assume accountability for achieving development milestones. Prioritize tasks to ensure timely delivery, in a fast-paced environment with rapidly changing priorities. Collaborate with and assist fellow members of the Data Research Engineering Team as required. Leverage online resources effectively like StackOverflow, ChatGPT, Bard, etc., while considering their capabilities and limitations. Skills And Experience Bachelor's degree in Computer Science, Data Science, or a related field. Higher qualifications is a plus. Think proactively and creatively regarding the next AI/LLM technologies and how to use them to the team’s and company’s benefits. “Think outside the box” mentality. Experience prompting LLMs in a streamlined way, taking into account how the LLM can potentially “hallucinate” and return wrong information. Experience building agentic AI platforms with modular capabilities and autonomous task execution. (crewai, lagchain, etc.) Proficient in implementing Retrieval-Augmented Generation (RAG) pipelines for dynamic knowledge integration. (chromadb, pinecone, etc) Experience managing a team of AI/LLM experts is a plus: this includes setting up goals and objectives for the team and fine-tuning complex models. Strong proficiency in Python programming Proficiency in SQL and data querying is a plus. Familiarity with web crawling techniques and API integration is a plus but not a must. Experience in AI/ML engineering and data extraction Experience with LLMs, NLP frameworks (spaCy, NLTK, Hugging Face, etc.) Strong understanding of machine learning frameworks (TensorFlow, PyTorch) Design and build AI models using LLMs Integrate LLM solutions with existing systems via APIs Collaborate with the team to implement and optimize AI solutions Monitor and improve model performance and accuracy Familiarity with Agile development methodologies is a plus. Strong problem-solving and analytical skills with attention to detail. Creative and critical thinking. Ability to work collaboratively in a team environment. Good and effective communication skills. Experience with version control systems, such as Git, for collaborative development. Ability to thrive in a fast-paced environment with rapidly changing priorities. Comfortable with autonomy and ability to work independently. Perks: Day off on the 3rd Friday of every month (one long weekend each month) Monthly Wellness Reimbursement Program to promote health well-being Monthly Office Commutation Reimbursement Program Paid paternity and maternity leaves How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 4.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: TensorFlow, PyTorch, rag, LangChain Forbes Advisor is Looking for: Location - Remote (For candidate's from Chennai or Mumbai it's hybrid) Forbes Advisor is a new initiative for consumers under the Forbes Marketplace umbrella that provides journalist- and expert-written insights, news and reviews on all things personal finance, health, business, and everyday life decisions. We do this by providing consumers with the knowledge and research they need to make informed decisions they can feel confident in, so they can get back to doing the things they care about most. At Marketplace, our mission is to help readers turn their aspirations into reality. We arm people with trusted advice and guidance, so they can make informed decisions they feel confident in and get back to doing the things they care about most. We are an experienced team of industry experts dedicated to helping readers make smart decisions and choose the right products with ease. Marketplace boasts decades of experience across dozens of geographies and teams, including Content, SEO, Business Intelligence, Finance, HR, Marketing, Production, Technology and Sales. The team brings rich industry knowledge to Marketplace’s global coverage of consumer credit, debt, health, home improvement, banking, investing, credit cards, small business, education, insurance, loans, real estate and travel. The Data Extraction Team is a brand-new team who plays a crucial role in our organization by designing, implementing, and overseeing advanced web scraping frameworks. Their core function involves creating and refining tools and methodologies to efficiently gather precise and meaningful data from a diverse range of digital platforms. Additionally, this team is tasked with constructing robust data pipelines and implementing Extract, Transform, Load (ETL) processes. These processes are essential for seamlessly transferring the harvested data into our data storage systems, ensuring its ready availability for analysis and utilization. A typical day in the life of a Data Research Engineer will involve coming up with ideas regarding how the company/team can best harness the power of AI/LLM, and use it not only simplify operations within the team, but also to streamline the work of the research team in gathering/retrieving large sets of data. The role is that of a leader who sets a vision for the future of AI/LLM’s use within the team and the company. They think outside the box and are proactive in engaging with new technologies and developing new ideas for the team to move forward in the AI/LLM field. The candidate should also at least be willing to acquire some basic skills in scraping and data pipelining. Responsibilities: Develop methods to leverage the potential of LLM and AI within the team. Proactive at finding new solutions to engage the team with AI/LLM, and streamline processes in the team. Be a visionary with AI/LLM tools and predict how the use of future technologies could be harnessed early on so that when these technologies come out, the team is ahead of the game regarding how it could be used. Assist in acquiring and integrating data from various sources, including web crawling and API integration. Stay updated with emerging technologies and industry trends. Explore third-party technologies as alternatives to legacy approaches for efficient data pipelines. Contribute to cross-functional teams in understanding data requirements. Assume accountability for achieving development milestones. Prioritize tasks to ensure timely delivery, in a fast-paced environment with rapidly changing priorities. Collaborate with and assist fellow members of the Data Research Engineering Team as required. Leverage online resources effectively like StackOverflow, ChatGPT, Bard, etc., while considering their capabilities and limitations. Skills And Experience Bachelor's degree in Computer Science, Data Science, or a related field. Higher qualifications is a plus. Think proactively and creatively regarding the next AI/LLM technologies and how to use them to the team’s and company’s benefits. “Think outside the box” mentality. Experience prompting LLMs in a streamlined way, taking into account how the LLM can potentially “hallucinate” and return wrong information. Experience building agentic AI platforms with modular capabilities and autonomous task execution. (crewai, lagchain, etc.) Proficient in implementing Retrieval-Augmented Generation (RAG) pipelines for dynamic knowledge integration. (chromadb, pinecone, etc) Experience managing a team of AI/LLM experts is a plus: this includes setting up goals and objectives for the team and fine-tuning complex models. Strong proficiency in Python programming Proficiency in SQL and data querying is a plus. Familiarity with web crawling techniques and API integration is a plus but not a must. Experience in AI/ML engineering and data extraction Experience with LLMs, NLP frameworks (spaCy, NLTK, Hugging Face, etc.) Strong understanding of machine learning frameworks (TensorFlow, PyTorch) Design and build AI models using LLMs Integrate LLM solutions with existing systems via APIs Collaborate with the team to implement and optimize AI solutions Monitor and improve model performance and accuracy Familiarity with Agile development methodologies is a plus. Strong problem-solving and analytical skills with attention to detail. Creative and critical thinking. Ability to work collaboratively in a team environment. Good and effective communication skills. Experience with version control systems, such as Git, for collaborative development. Ability to thrive in a fast-paced environment with rapidly changing priorities. Comfortable with autonomy and ability to work independently. Perks: Day off on the 3rd Friday of every month (one long weekend each month) Monthly Wellness Reimbursement Program to promote health well-being Monthly Office Commutation Reimbursement Program Paid paternity and maternity leaves How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

JOB DESCRIPTION We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within the AI\ML & Data Platform team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on security engineering concepts and 3+ years applied experience Hands-on practical experience in system design, application development, testing, and operational stability Hands on experience in Java, Spring, Microservices, No SQL, Cucumber. Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Exposure to cloud technologies ABOUT US

Technical Business Analyst – Deputy Manager We are seeking a highly skilled, experienced, and inspirational Triage Manager. You will join a high performing team of QRS, ITS and other professionals committed to identifying and implementing innovative GenAI technologies to ensure that Deloitte remains the leading global provider of audit and assurance, consulting, financial advisory, risk advisory, tax, legal and related services. The Triage Manager is responsible for coordinating the triage of medium-/high-risk GenAI use cases by engaging with relevant SMEs and local QRS representatives to assess the risks associated with specific use cases and develop appropriate mitigating actions. Work you’ll do We are seeking an experienced and highly skilled Technical Business Analyst to join our internal project delivery team. This role will be pivotal in supporting large-scale, complex initiatives that span multiple systems and applications across our enterprise environment. You will play a key role in data analysis, system integration design, data mapping, and enabling the successful implementation of modern, scalable technology solutions, including emerging tools like Gen AI and intelligent automation. Project Delivery – Business Analysis Services Take ownership and lead the business analysis stream within technology projects, with a strong focus on data-driven initiatives, integrations, and cross-platform solutions. Plan and manage business analysis activities aligned to project scope and delivery milestones, particularly where data flows, analytics, and system interoperability are critical. Facilitate stakeholder workshops to capture business, data, and reporting requirements—translating them into actionable artefacts for both technical and business audiences. Lead the elicitation, definition, and documentation of functional, non-functional, and data requirements, ensuring clear alignment with reporting, compliance, and operational goals. Conduct data profiling, analysis, and mapping, including source-to-target specifications, data transformation logic, and traceability across systems and reporting layers. Collaborate with Data Engineers, Architects, and Developers to design robust and scalable data pipelines, supporting analytics, reporting, and operational processes. Support the development and validation of reporting and dashboard solutions, including scoping KPIs and metrics and working closely with teams using Power BI, Excel, or cloud-native analytics tools. Ensure data solutions and reporting capabilities align with security, privacy, and data classification standards. Apply technical understanding of cloud platforms (e.g., Azure, AWS) and modern integration tools (e.g., Dell Boomi, Azure Data Factory) to inform solution feasibility and architecture. Lead user acceptance testing (UAT) by developing clear test cases and acceptance criteria, especially for data and reporting validation. Contribute to the planning and integration of emerging technologies, including AI-driven analytics, intelligent automation, and cloud-native services, into future-state solutions. Leadership & Collaboration Work autonomously while influencing decision-making in cross-functional teams. Act as a mentor to less experienced Business Analysts and contribute to building team capability. Communicate effectively with technical and non-technical stakeholders, translating complex concepts clearly and confidently. Escalate risks and dependencies appropriately and engage senior stakeholders as required. Process Improvement Contribute to the Business Analysis Centre of Excellence (CoE) by promoting best practices, reusable artefacts, and continuous improvement. Identify opportunities to improve BA frameworks and delivery efficiency based on project retrospectives and lessons learned. Drive consistency in artefact quality and methodology adherence across projects. The Team At Deloitte, you’ll be joining an innovative firm, working together to make positive change happen. In the UK, we are part of Deloitte North and South Europe (NSE), the second largest member firm in the Deloitte network. Location : Hyderabad Work shift Timings : 11 AM to 8 PM Qualifications Bachelor of Engineering/ Bachelor of Technology Essential Essential skills and experience: Proven ability to self-manage workload, balance competing priorities, and deliver outcomes in a fast-paced, rapidly evolving environment. Minimum 3–4 years of experience as a Business Analyst, with a proven track-record on technical projects and delivery within large, enterprise-scale environments. Extensive experience working on projects involving system integrations, including the development of source-to-target data mappings, interface specifications, and data transformation logic. Demonstrated ability to clearly articulate data migration, data validation, and integration requirements across diverse platforms and stakeholders. Strong experience in data analysis, including profiling data sets, identifying data quality issues, and informing reporting and analytics capabilities. Experience working closely with Solution Architects, Data Engineers, and Technical Leads to help design, assess, and deliver scalable and secure solutions. Strong understanding of enterprise technology environments, business systems, and how to align them with strategic and operational goals. Familiarity with data classification, cybersecurity principles, and ensuring secure handling of sensitive or regulated information in solution design. Experience supporting or shaping analytics and reporting solutions using tools such as Power BI, Excel, or similar platforms. Desirable: Hands-on experience with Microsoft SQL (or equivalent), including querying databases to support data validation and requirement analysis. Working knowledge of cloud platforms such as Microsoft Azure or AWS, particularly in relation to data services, storage, and integration capabilities. Exposure to integration platforms (e.g. Dell Boomi, Azure Data Factory) and understanding of iPaaS architectures. Familiarity with emerging technologies such as Gen AI, automation platforms, and AI-assisted data and analytics use cases. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India. Benefits to help you thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 306140

Experience : 4.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: TensorFlow, PyTorch, rag, LangChain Forbes Advisor is Looking for: Location - Remote (For candidate's from Chennai or Mumbai it's hybrid) Forbes Advisor is a new initiative for consumers under the Forbes Marketplace umbrella that provides journalist- and expert-written insights, news and reviews on all things personal finance, health, business, and everyday life decisions. We do this by providing consumers with the knowledge and research they need to make informed decisions they can feel confident in, so they can get back to doing the things they care about most. At Marketplace, our mission is to help readers turn their aspirations into reality. We arm people with trusted advice and guidance, so they can make informed decisions they feel confident in and get back to doing the things they care about most. We are an experienced team of industry experts dedicated to helping readers make smart decisions and choose the right products with ease. Marketplace boasts decades of experience across dozens of geographies and teams, including Content, SEO, Business Intelligence, Finance, HR, Marketing, Production, Technology and Sales. The team brings rich industry knowledge to Marketplace’s global coverage of consumer credit, debt, health, home improvement, banking, investing, credit cards, small business, education, insurance, loans, real estate and travel. The Data Extraction Team is a brand-new team who plays a crucial role in our organization by designing, implementing, and overseeing advanced web scraping frameworks. Their core function involves creating and refining tools and methodologies to efficiently gather precise and meaningful data from a diverse range of digital platforms. Additionally, this team is tasked with constructing robust data pipelines and implementing Extract, Transform, Load (ETL) processes. These processes are essential for seamlessly transferring the harvested data into our data storage systems, ensuring its ready availability for analysis and utilization. A typical day in the life of a Data Research Engineer will involve coming up with ideas regarding how the company/team can best harness the power of AI/LLM, and use it not only simplify operations within the team, but also to streamline the work of the research team in gathering/retrieving large sets of data. The role is that of a leader who sets a vision for the future of AI/LLM’s use within the team and the company. They think outside the box and are proactive in engaging with new technologies and developing new ideas for the team to move forward in the AI/LLM field. The candidate should also at least be willing to acquire some basic skills in scraping and data pipelining. Responsibilities: Develop methods to leverage the potential of LLM and AI within the team. Proactive at finding new solutions to engage the team with AI/LLM, and streamline processes in the team. Be a visionary with AI/LLM tools and predict how the use of future technologies could be harnessed early on so that when these technologies come out, the team is ahead of the game regarding how it could be used. Assist in acquiring and integrating data from various sources, including web crawling and API integration. Stay updated with emerging technologies and industry trends. Explore third-party technologies as alternatives to legacy approaches for efficient data pipelines. Contribute to cross-functional teams in understanding data requirements. Assume accountability for achieving development milestones. Prioritize tasks to ensure timely delivery, in a fast-paced environment with rapidly changing priorities. Collaborate with and assist fellow members of the Data Research Engineering Team as required. Leverage online resources effectively like StackOverflow, ChatGPT, Bard, etc., while considering their capabilities and limitations. Skills And Experience Bachelor's degree in Computer Science, Data Science, or a related field. Higher qualifications is a plus. Think proactively and creatively regarding the next AI/LLM technologies and how to use them to the team’s and company’s benefits. “Think outside the box” mentality. Experience prompting LLMs in a streamlined way, taking into account how the LLM can potentially “hallucinate” and return wrong information. Experience building agentic AI platforms with modular capabilities and autonomous task execution. (crewai, lagchain, etc.) Proficient in implementing Retrieval-Augmented Generation (RAG) pipelines for dynamic knowledge integration. (chromadb, pinecone, etc) Experience managing a team of AI/LLM experts is a plus: this includes setting up goals and objectives for the team and fine-tuning complex models. Strong proficiency in Python programming Proficiency in SQL and data querying is a plus. Familiarity with web crawling techniques and API integration is a plus but not a must. Experience in AI/ML engineering and data extraction Experience with LLMs, NLP frameworks (spaCy, NLTK, Hugging Face, etc.) Strong understanding of machine learning frameworks (TensorFlow, PyTorch) Design and build AI models using LLMs Integrate LLM solutions with existing systems via APIs Collaborate with the team to implement and optimize AI solutions Monitor and improve model performance and accuracy Familiarity with Agile development methodologies is a plus. Strong problem-solving and analytical skills with attention to detail. Creative and critical thinking. Ability to work collaboratively in a team environment. Good and effective communication skills. Experience with version control systems, such as Git, for collaborative development. Ability to thrive in a fast-paced environment with rapidly changing priorities. Comfortable with autonomy and ability to work independently. Perks: Day off on the 3rd Friday of every month (one long weekend each month) Monthly Wellness Reimbursement Program to promote health well-being Monthly Office Commutation Reimbursement Program Paid paternity and maternity leaves How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!