15027 Spark Jobs - Page 31

HEROIC Cybersecurity ( HEROIC.com ) is seeking a Senior Full-Stack Laravel Developer to help manage the development of advanced SaaS-based cybersecurity platforms. This role is ideal for a highly skilled full-stack developer who thrives in a fast-paced, AI-driven environment and is passionate about building secure, scalable, and intelligent web applications. As a senior developer, you’ll be responsible for supporting the full application stack — from backend PHP/Laravel to front-end implementation, database design, DevOps, and production systems. You’ll also leverage AI tools and workflows to streamline development, reduce bugs, and accelerate time to deployment. This position operates during U.S. Pacific Time business hours (9 AM to 6 PM PT) and requires full system accountability, including daily bug fixes, server and database management, and security patching. We expect this position to spend their time in the following manner: 80% coding, 10% architecting, and 10% team communication. Principal Responsibilities Full-stack development for HEROIC's SaaS cybersecurity platform (Laravel, MySQL, Vue/JS, Postgres, Cassandra) Leverage AI coding assistants (GitHub Copilot, Cursor, ChatGPT, etc.) to improve velocity, code quality, and maintainability Own daily bug triage, security patching, and hotfix resolution Proactively help manage servers and databases (Linux, Apache/Nginx, MySQL, Postgres, Cassandra) Collaborate cross-functionally with U.S.-based management, product teams, and India based engineers Research and integrate third-party APIs, tools, and AI services Write clean, well-documented, testable code and implement automated testing where feasible Stay up-to-date with Laravel ecosystem, AI-assisted coding trends, and security best practices Participate in daily standups, planning meetings, and post-release reviews Ensure that a secure software development lifecycle is followed to develop our SAAS based cybersecurity platforms Take ownership in the development of HEROIC’s software applications, and technical environments. Qualifications 8+ years of full-stack PHP development, with 3+ years in Laravel Deep expertise in PHP, Laravel, MySQL, JavaScript (Vue.js or similar), Git, and RESTful APIs Experience with server and database management (Linux, Apache/Nginx, MySQL/PostgreSQL, Cassandra) Strong familiarity with AI-enhanced coding tools and modern DevOps workflows (CI/CD, GitHub Actions) Comfortable working independently during U.S. hours and owning mission-critical systems Experience in a security-focused or SaaS product environment is a strong plus Excellent English communication skills (written and verbal) Bachelor’s degree in Computer Science, Engineering, or equivalent experience What We Offer Position Type: Full-time Location: Pune, India (Remote – Work from anywhere) Work Schedule: 9 AM – 6 PM Pacific Time (U.S. hours) Compensation: Competitive salary based on experience Professional Growth: Work with cutting-edge AI, cybersecurity, and SaaS technologies Culture: Fast-paced, innovative, mission-driven team About Heroic HEROIC Cybersecurity (HEROIC.com) is building the future of cybersecurity. Unlike traditional solutions, HEROIC takes a predictive and proactive approach to intelligently secure users before an attack or threat occurs. Our work environment is fast-paced, challenging, and exciting. At HEROIC, you’ll collaborate with a team of passionate, driven individuals dedicated to making the world a safer digital place. KEYWORDS & TECHNOLOGIES USED: PHP, Laravel, MySQL, Cassandra, Linux, HTML, CSS, Javascript, AWS, Jira, Git, AI, Big Data, Artificial Intelligence, Spark, Angular, NodeJS, Vue.js, AI-enhanced development, GitHub Copilot, Prompt Engineering, API Integration, SaaS, Security, CI/CD

Job Summary Work with development teams to validate the quality of the product delivered to the stakeholders as per group standards. The successful candidate should be an experienced ETL / Data Tester with a track record in delivering multiple concurrent, complex projects. The successful candidate is expected to: In-depth knowledge in BigData ETL Experience in Bigdata Hadoop Hive is must Python/spark experience CICD – ETL test automation tools Plan and execute activities in relation to test preparation, automation, execution, and reporting Implement Test Automation scripts using Selenium/Java and the bank defined framework, review codes and provide mentorship to peers Hands-on experience in any performance testing tools is good to have Knowledge in shell scripting Key Responsibilities Business Collect and analyse measurement data; Coach junior staffs; Define test strategy and test plan; Work with business to define business requirements / user stories; Help business understand benefits of test automation; Oversee test activities and manage resources; Manage resources to ensure project delivery; Ensure procedures / standards are properly applied; Ensure quality of project delivery; Ensure audit trails are retained; Host retrospective sessions and identify best practices and lessons learned Processes Comply with procedures and standards; Identify improvement opportunities actively, share ideas with team, and act on improvements; Participate in code reviews and provide feedback on solution design, coding standard, etc.; Contribute in test automation framework and test pipeline development; Contribute to team knowledge base; Keep relevant documents up-to-date. People & Talent Identify teammates’ need for help proactively and provide support as appropriate; Actively join and focus on training provided by team; Actively acquire new knowledge per need of the team; Actively participate in team discussion, during meeting, sharing, etc.; Appreciate and respect other team members’ efforts and works Risk Management Identify and report risks / issues proactively; Actively solve the problems that occurred Governance Ensure assigned tasks (including non-project related) are completed timely and with high quality; Cover/back up lower band level activities whenever needed; Update activity progress to related stakeholders timely, and voice out promptly, if any problems Regulatory & Business Conduct Display exemplary conduct and live by the Group’s Values and Code of Conduct. Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct. Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters. Lead to achieve the outcomes set out in the Bank’s Conduct Principles Qualifications Training: SQL, ETL, BIGDATA Certifications : Database skills is an advantage Languages : English Skills And Experience ETL Test SQL Spark Python Selenium ETL Test Automation About Standard Chartered We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion. Together We Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What We Offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.

Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do As an Analyst – BCG Vantage on our Topic Activation path within BCG's People and organization Practice Area, you will work in a growing global team, providing industry or functional expertise and insights, working together with BCG case and proposal teams to deliver customized knowledge assets and expert advisory. Additionally, you will support your topic in developing existing & new intellectual property and knowledge assets. You will work on commercialization efforts for the topic/sector, with business leaders, supporting marketing efforts, conferences and publications. As an Analyst – BCG Vantage you will assist with on-boarding, training and guiding junior colleagues and share best practices within the team. YOU'RE GOOD AT Applying sector expertise when contributing to building and deploying a product/tool/data, taking different client contexts into account Structuring and conducting research and analysis on topics like skills strategy, talent management, compensation, and HR operations. Building high-quality, client-ready deliverables in PowerPoint, Excel, and Word. Interacting confidently with senior stakeholders and understanding client contexts. Collaborating in virtual and cross-functional teams. Managing ambiguity and multiple priorities with a proactive and problem-solving mindset. Demonstrating intellectual curiosity and proposing innovative approaches. Working collaboratively and effectively in a group dynamic often virtual, proficient in agile ways of working Communicating with senior stakeholders, being credible and proactive Framing, structuring, and sharing intellectual property, with the ability to write clearly and concisely Working creatively and analytically in a time-limited, problem-solving environment Flexibility and bring a curious and creative mindset, open for new things and able to propose innovative ideas Ability to navigate complexity and ambiguity Interacting with internal and external stakeholders while working in a global collaborative team environment What You'll Bring Master's degree relevant to HR, business, organizational psychology; 1+ year of relevant work experience in talent, HR transformation, or compensation preferred Or Bachelor's degree, with strict minimum of 1+ year consulting experience or 2+ years of relevant industry work experience in in HR, talent management, skills, or compensation. Fluency in English; Strong business acumen and problem-solving capabilities Strong written and verbal communication skills Strong understanding of topics like: Skills and capability development Workforce planning and analytics Talent lifecycle management Compensation and total rewards design HR operating model transformation Who You'll Work With As an Analyst – BCG Vantage on our Topic Activation path you will collaborate with global topic leads and colleagues across BCG to bring expertise and capabilities to the service of our internal and external clients. Our team is made up of a diverse pool of BCG Vantage positions that allow us to pursue exciting, innovative BCG Vantage careers. Additional info BCG Vantage is a powerhouse of expertise, seamlessly embedded within Practice Areas and markets to drive extraordinary impact. It equips BCG case teams and clients with cutting-edge expertise, proprietary assets, actionable data, and transformative insights that empower our case teams and enable our clients to achieve their aspirations. With global experts across 20 Practices, covering more than 100 topics, sectors and offers, plus four focused geographic markets, BCG Vantage delivers unparalleled depth and breadth of insight & expertise. BCG Vantage consists of three career paths, each playing a crucial role in delivering value to clients, case teams and practice teams. Client Focus (Embedded Expertise) Integrates into client-facing teams to deliver direct client impact through expertise, know-how, and proprietary tools and assets Topic Activation (Sector Expertise with Proprietary Tool & Data Solutions) Combines deep domain insights with our know-how and proprietary assets to address targeted challenges directly with clients and project teams; co-creates insights on industry trends and functional topics, proprietary data and tools, and teams to codify IP that all enables BCG to deliver excellent business value with its clients Research (Practice Topic and Sector-Aligned Research and Insights) Delivers actionable research and insights tailored to the client project’s needs; works with qualitative and quantitative data, conducts research and provides synthesized results from sources including commercial data, public and open source, company and industry research, macro-economic, commodities and trade data. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

Job Title: Python Developer Experience Level: 5-7 Years Location : Hyderabad Job Description We are seeking an experienced Lead Python Developer with a proven track record of building scalable and secure applications, specifically in the travel and tourism industry. The ideal candidate should possess in-depth knowledge of Python, modern development frameworks, and expertise in integrating third-party travel APIs. This role demands a leader who can foster innovation while adhering to industry standards for security, scalability, and performance. Roles and Responsibilities Application Development: Architect and develop robust, high-performance applications using Python frameworks such as Django, Flask, and FastAPI. API Integration: Design and implement seamless integration with third-party APIs, including GDS, CRS, OTA, and airline-specific APIs, to enable real-time data retrieval for booking, pricing, and availability. Data Management: Develop and optimize complex data pipelines to manage structured and unstructured data, utilizing ETL processes, data lakes, and distributed storage solutions. Microservices Architecture: Build modular applications using microservices principles to ensure scalability, independent deployment, and high availability. Performance Optimization: Enhance application performance through efficient resource management, load balancing, and faster query handling to deliver an exceptional user experience. Security and Compliance: Implement secure coding practices, manage data encryption, and ensure compliance with industry standards such as PCI DSS and GDPR. Automation and Deployment: Leverage CI/CD pipelines, containerization, and orchestration tools to automate testing, deployment, and monitoring processes. Collaboration: Work closely with front-end developers, product managers, and stakeholders to deliver high- quality, user-centric solutions aligned with business goals.Requirements  Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.  Technical Expertise: o At least 4 years of hands-on experience with Python frameworks like Django, Flask, and FastAPI. o Proficiency in RESTful APIs, GraphQL, and asynchronous programming. o Strong knowledge of SQL/No SQL databases (PostgreSQL, MongoDB) and big data tools (e.g., Spark, Kafka). o Experience with cloud platforms (AWS, Azure, Google Cloud), containerization (Docker, Kubernetes), and CI/CD tools (e.g., Jenkins, GitLab CI). o Familiarity with testing tools such as PyTest, Selenium, and SonarQube. o Expertise in travel APIs, booking flows, and payment gateway integrations.  Soft Skills: o Excellent problem-solving and analytical abilities. o Strong communication, presentation, and teamwork skills. o A proactive attitude with a willingness to take ownership and perform under pressure.

The Applications Development Senior Manager is a senior management level position responsible for accomplishing results through the management of a team or department in an effort to establish and implement new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to drive applications systems analysis and programming activities. Responsibilities: Manage one or more Applications Development teams in an effort to accomplish established goals as well as conduct personnel duties for team (e.g. performance evaluations, hiring and disciplinary actions) Utilize in-depth knowledge and skills across multiple Applications Development areas to provide technical oversight across systems and applications Review and analyze proposed technical solutions for projects Contribute to formulation of strategies for applications development and other functional areas Develop comprehensive knowledge of how areas of business integrate to accomplish business goals Provide evaluative judgment based on analysis of factual data in complicated and unique situations Impact the Applications Development area through monitoring delivery of end results, participate in budget management, and handling day-to-day staff management issues, including resource management and allocation of work within the team/project Ensure essential procedures are followed and contribute to defining standards negotiating with external parties when necessary Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards. Core Responsibilities: This role is for a Data Engineering Tech Lead to work on the Vanguard Big Data Platform. The team is responsible for the design, architecture, development, and maintenance/support of leading Big Data initiatives and use cases providing business value. Interface with product teams to understand their requirements to build the ingestion pipelines and conformance layer for consumption by business. Work closely with the data ingestion team to track the requirements and drive the build out of the canonical models. Provide guidance to the data conformance team for implementing the requirements / changes / enhancements to the conformance model. Do very much technical and hands-on development as part of the conformance team to deliver the business requirements. Manage the workload of the team and the scrum process to align it with the objectives and priorities of the product owners. Participate in data management activities related to the Risk and Regulatory requirements as needed. Core Skills: The Data Engineering lead will be working very closely with and managing the work of a team of data engineers working on our Big Data Platform. The lead will need the below core skills – Strong solid understanding of the Big Data architecture and the ability to trouble shoot performance and/or development issues on Hadoop (Cloudera preferably) Hands-on experience working with Hive, Impala, Kafka, HBase, Spark for data curation/conformance related work. Strong proficiency in Spark for development work related to curation/conformance. Strong Scala development (with previous Java background) preferred. Experience with Spark/Kafka or equivalent streaming/batch processing and event-based messaging. Strong data analysis skills and the ability to slice and dice the data as needed for business reporting. Experience working in an agile environment with a fast-paced changing requirement. Excellent planning and organizational skills Strong Communication skills Additional Requirements (Nice to have): Cloudera/Hortonworks/AWS EMR, Couchbase, S3 experience a plus Experience with Cloud Integration on AWS, Snowflake, Couchbase, or GCP tech stack components. Relational SQL (Oracle, SQL Server) and NoSQL (MongoDB) database integration and data distribution principles experience Experience with API development and use of JSON/XML/Hypermedia data formats. Analysis and development across Lines of business product/function including Payments, Digital Channels, Liquidities, Trade, Sales, Pricing, Client Experience having Cross train, functional and/or technical knowledge Align to Engineering Excellence Development principles and standards. Qualifications: 8-12 years of relevant experience in the Financial Service industry Experience as Applications Development Manager Experience as senior level in an Applications Development role Stakeholder and people management experience Demonstrated leadership skills Proven project management skills Basic knowledge of industry practices and standards Consistently demonstrates clear and concise written and verbal communication Education: Bachelor’s degree/University degree or equivalent experience Master’s degree preferred This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ 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.

Digital Finance Transformation – Consultant Find endless opportunities to solve our clients' toughest challenges, as you work with exceptional people, the latest tech and leading companies across industries. Practice: CFO & Enterprise Value, Management Consulting, Global Network I Areas of Work: Digital Finance Transformation | Level: 9 – Consultant | Location: Gurgaon, Mumbai, Bangalore | Years of Exp: 4-8 years Explore an Exciting Career at Accenture Are you an outcome-oriented problem solver? Do you enjoy working on transformation strategies for global clients? Does working in an inclusive and collaborative environment spark your interest? Then, Accenture Strategy and Consulting is the right place for you to explore limitless possibilities. As a part of the Global Network CFO & Enterprise Value team, you will support CFOs and finance organizations to craft and implement strategies anchored on digital disruption, new age operating models and best-in-class practices, to drive market differentiation. Together, let’s enable enterprise innovation, and deliver tangible results and outcomes for our clients. We are looking for a candidate who can bring finance knowledge, process expertise, world class capabilities to our clients to deliver business value To support Project Delivery, drive sales pipeline, BDs, Demos, and Proposals. To work with leading global clients to do assessments, develop and execute system design, blueprinting, proof of concepts, data modeling, etc. in Finance technology solutions focused on Order to Cash (OTC) like HighRadius, Rimilia, Serrala, Sidetrade, etc. Work may require extensive travel (international/within India) to client sites for project work. Key responsibilities of the role: Support project delivery ensuring high quality within constraints of time and budget, application design, blueprint, solutioning, modelling, proof-of-concept development, etc. Engage client conversations, leading workshops and presenting to client stakeholders in management reviews, steercos. Contribute to various aspects of finance transformation journey and the assessment of project requirements and deliverables to identify the best solution for clients. Drive continuous improvement capability with regards to methodology, tools, practices, and maturity. Bring your best skills forward to excel in the role: This role is to support Accenture's CFO EV practice in delivering Finance programs (primarily focused on process transformation across OTC including enabling technology). Should be able to design to-be processes and roles leveraging leading practices and enabling technologies, especially Blackline. Should know how to manage Process Transition, Knowledge Transfers & Process Reengineering. Should know how to do shared services operating model design and implementation including governance and service management. Should know how to do business case analysis. Should know how to do business architecture implementation activities. Should be able to support sales pipeline including BDs and Proposals. Read More About Us. Recent Blogs What’s in it for you? An opportunity to work on transformative projects with key G2000 clients Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners and, business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everything—from how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge and capabilities Opportunity to thrive in a culture that is committed to accelerate equality for all. Engage in boundaryless collaboration across the entire organization. About Accenture: Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business functions — underpinned by the world’s largest delivery network — Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. With 569,000 people serving clients in more than 120 countries, Accenture drives innovation to improve the way the world works and lives. Visit us at www.accenture.com About Accenture Strategy & Consulting: Accenture Strategy shapes our clients’ future, combining deep business insight with the understanding of how technology will impact industry and business models. Our focus on issues such as digital disruption, redefining competitiveness, operating and business models as well as the workforce of the future helps our clients find future value and growth in a digital world. Today, digital is changing the way organizations engage with their employees, business partners, customers and communities. This is our unique differentiator. To bring this global perspective to our clients, Accenture Strategy's services include those provided by our Global Network – a distributed management consulting organization that provides management consulting and strategy expertise across the client lifecycle. Our Global Network teams complement our in-country teams to deliver cutting-edge expertise and measurable value to clients all around the world. For more information visit https://www.accenture.com/in-en/careers Accenture Global Network | Accenture in One Word At the heart of every great change is a great human. If you have ideas, ingenuity and a passion for making a difference, come and be a part of our team.

Role Purpose The purpose of this role is to design, test and maintain software programs for operating systems or applications which needs to be deployed at a client end and ensure its meet 100% quality assurance parameters Do 1. Instrumental in understanding the requirements and design of the product/ software Develop software solutions by studying information needs, studying systems flow, data usage and work processes Investigating problem areas followed by the software development life cycle Facilitate root cause analysis of the system issues and problem statement Identify ideas to improve system performance and impact availability Analyze client requirements and convert requirements to feasible design Collaborate with functional teams or systems analysts who carry out the detailed investigation into software requirements Conferring with project managers to obtain information on software capabilities 2. Perform coding and ensure optimal software/ module development Determine operational feasibility by evaluating analysis, problem definition, requirements, software development and proposed software Develop and automate processes for software validation by setting up and designing test cases/scenarios/usage cases, and executing these cases Modifying software to fix errors, adapt it to new hardware, improve its performance, or upgrade interfaces. Analyzing information to recommend and plan the installation of new systems or modifications of an existing system Ensuring that code is error free or has no bugs and test failure Preparing reports on programming project specifications, activities and status Ensure all the codes are raised as per the norm defined for project / program / account with clear description and replication patterns Compile timely, comprehensive and accurate documentation and reports as requested Coordinating with the team on daily project status and progress and documenting it Providing feedback on usability and serviceability, trace the result to quality risk and report it to concerned stakeholders 3. Status Reporting and Customer Focus on an ongoing basis with respect to project and its execution Capturing all the requirements and clarifications from the client for better quality work Taking feedback on the regular basis to ensure smooth and on time delivery Participating in continuing education and training to remain current on best practices, learn new programming languages, and better assist other team members. Consulting with engineering staff to evaluate software-hardware interfaces and develop specifications and performance requirements Document and demonstrate solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code Documenting very necessary details and reports in a formal way for proper understanding of software from client proposal to implementation Ensure good quality of interaction with customer w.r.t. e-mail content, fault report tracking, voice calls, business etiquette etc Timely Response to customer requests and no instances of complaints either internally or externally Mandatory Skills: Scala programming. Experience: 5-8 Years.

As a Senior Cloud Data Platform (AWS) Specialist at Incedo, you will be responsible for designing, deploying and maintaining cloud-based data platforms on the AWS platform. You will work with data engineers, data scientists and business analysts to understand business requirements and design scalable, reliable and cost-effective solutions that meet those requirements. Roles & Responsibilities: Designing, developing and deploying cloud-based data platforms using Amazon Web Services (AWS) Integrating and processing large amounts of structured and unstructured data from various sources Implementing and optimizing ETL processes and data pipelines Developing and maintaining security and access controls Collaborating with other teams to ensure the consistency and integrity of data Troubleshooting and resolving data platform issues Technical Skills Skills Requirements: In-depth knowledge of AWS services and tools such as AWS Glue, AWS Redshift, and AWS Lambda Experience in building scalable and reliable data pipelines using AWS services, Apache Spark, and related big data technologies Familiarity with cloud-based infrastructure and deployment, specifically on AWS Strong knowledge of programming languages such as Python, Java, and SQL Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Nice-to-have skills Qualifications Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Company Overview Incedo is a US-based consulting, data science and technology services firm with over 3000 people helping clients from our six offices across US, Mexico and India. We help our clients achieve competitive advantage through end-to-end digital transformation. Our uniqueness lies in bringing together strong engineering, data science, and design capabilities coupled with deep domain understanding. We combine services and products to maximize business impact for our clients in telecom, Banking, Wealth Management, product engineering and life science & healthcare industries. Working at Incedo will provide you an opportunity to work with industry leading client organizations, deep technology and domain experts, and global teams. Incedo University, our learning platform, provides ample learning opportunities starting with a structured onboarding program and carrying throughout various stages of your career. A variety of fun activities is also an integral part of our friendly work environment. Our flexible career paths allow you to grow into a program manager, a technical architect or a domain expert based on your skills and interests. Our Mission is to enable our clients to maximize business impact from technology by Harnessing the transformational impact of emerging technologies Bridging the gap between business and technology Role Description Collaborate with business stakeholders and other technical team members to acquire data sources that are most relevant to business needs and goals. Demonstrate deep technical and domain knowledge of relational and non-relation databases, Data Warehouses, Data lakes among other structured and unstructured storage options. Determine solutions that are best suited to develop a pipeline for a particular data source. Develop data flow pipelines to extract, transform, and load data from various data sources in various forms, including custom ETL pipelines that enable model and product development. Write custom scripts to extract data from unstructured/semi-structured sources. Provide clear documentation for delivered solutions and processes, integrating documentation with the appropriate corporate stakeholders. Identify and implement internal process improvements for data management (automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability). Stay current with and adopt new tools and applications to ensure high quality and efficient solutions. Build cross-platform data strategy to aggregate multiple sources and process development datasets. Technical Skills Nice-to-have skills 2+ years of experience with Big Data Management (BDM) for relational and non-relational data (formats like json, xml, Avro, parquet, copybook, etc.) Knowledge of Dev-Ops processes (CI/CD) and infrastructure as code. Knowledge of Master Data Management (MDM) and Data Quality tools. Experience developing REST APIs. Knowledge of key machine learning concepts & MLOPS Qualifications Bachelors degree in computer engineering 3+ years of ETL design, development, and performance tuning using ETL tools such as SSIS/ADF in a multi-dimensional Data Warehousing environment. 3+ years of experience with setting up and operating data pipelines using Python or SQL 3+ years of advanced SQL Programming: PL/SQL, T-SQL 3+ years of strong and extensive hands-on experience in Azure, preferably data heavy / analytics applications leveraging relational and NoSQL databases, Data Warehouse and Big Data 3+ years of experience with Azure Data Factory, Azure Synapse Analytics, Azure Analysis Services, Azure Databricks, Blob Storage, Databricks/Spark, Azure SQL DW/Synapse, and Azure functions. 2+ years of experience in defining and enabling data quality standards for auditing, and monitoring. Strong analytical abilities and a strong intellectual curiosity In-depth knowledge of relational database design, data warehousing and dimensional data modeling concepts Deep understanding of REST and good API design. Strong collaboration and teamwork skills & excellent written and verbal communications skills. Self-starter and motivated with ability to work in a fast-paced development environment. Agile experience highly desirable. Proficiency in the development environment, including IDE, database server, GIT, Continuous Integration, unit-testing tool, and defect management tools.

Long Description Experienceand Expertise inany of the followingLanguagesat least 1 of them : Java, Scala, Python Experienceand expertise in SPARKArchitecture Experience in the range of 6-10 yrs plus Good Problem SolvingandAnalytical Skills Ability to Comprehend the Business requirementand translate to the Technical requirements Good communicationand collaborative skills with fellow teamandacross Vendors Familiar with development of life cycle includingCI/CD pipelines. Proven experienceand interested in supportingexistingstrategicapplications Familiarity workingwithagile methodology Mandatory Skills: Scala programming.: Experience: 5-8 Years.

As a Senior Data Science and Modeling Specialist at Incedo, you will be responsible for developing and deploying predictive models and machine learning algorithms to support business decision-making. You will work with data scientists, data engineers, and business analysts to understand business requirements and develop data-driven solutions. You will be skilled in programming languages such as Python or R and have experience in data science tools such as TensorFlow or Keras. You will be responsible for ensuring that models are accurate, efficient, and scalable. Roles & Responsibilities: Developing and implementing machine learning models and algorithms to solve complex business problems Conducting data analysis and modeling using statistical and data analysis tools Collaborating with other teams to ensure the consistency and integrity of data Providing guidance and mentorship to junior data science and modeling specialists Presenting findings and recommendations to stakeholders Technical Skills Skills Requirements: Proficiency in statistical analysis techniques such as regression analysis, hypothesis testing, or time-series analysis. Knowledge of machine learning algorithms and techniques such as supervised learning, unsupervised learning, or reinforcement learning. Experience with data wrangling and data cleaning techniques using tools such as Python, R, or SQL. Understanding of big data technologies such as Hadoop, Spark, or Hive. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Nice-to-have skills Qualifications Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Mandatory Skills: Cloud-PaaS-GCP-Google Cloud Platform . Location: Wipro PAN India Hybrid 3 days in Wipro office JD: Strong - SQL Strong - Python Any cloud technology (AWS, azure, GCP etc) have to be excellent GCP (preferred) PySpark (preferred) Essential Skills: Proficiency in Cloud-PaaS-GCP-Google Cloud Platform. Experience Required: 5-8 years. Position: Cloud Data Engineer. Work Location: Wipro, PAN India. Work Arrangement: Hybrid model with 3 days in Wipro office. Additional Experience: 8-13 years. Job Description: - Strong expertise in SQL. - Proficient in Python. - Excellent knowledge of any cloud technology (AWS, Azure, GCP, etc.), with a preference for GCP. - Familiarity with PySpark is preferred. Mandatory Skills: Cloud-PaaS-GCP-Google Cloud Platform . JD: Strong - SQL Strong - Python Any cloud technology (AWS, azure, GCP etc) have to be excellent GCP (preferred) PySpark (preferred

As a Senior Cloud Data Platform (GCP) Engineer at Incedo, you will be responsible for managing and optimizing the Google Cloud Platform environment, ensuring its performance, scalability, and security. You will work closely with data analysts and data scientists to develop data pipelines and run data science experiments. You will be skilled in cloud computing platforms such as AWS or Azure and have experience with big data technologies such as Hadoop or Spark. You will be responsible for configuring and optimizing the GCP environment, ensuring that data pipelines are efficient and accurate, and troubleshooting any issues that arise. You will also work with the security team to ensure that the GCP environment is secure and complies with relevant regulations. Roles & Responsibilities: Designing, developing and deploying cloud-based data platforms using Google Cloud Platform (GCP) Integrating and processing large amounts of structured and unstructured data from various sources Implementing and optimizing ETL processes and data pipelines Developing and maintaining security and access controls Collaborating with other teams to ensure the consistency and integrity of data Troubleshooting and resolving data platform issues Technical Skills Skills Requirements: In-depth knowledge of GCP services and tools such as Google Cloud Storage, Google BigQuery, and Google Cloud Dataflow Experience in building scalable and reliable data pipelines using GCP services, Apache Beam, and related big data technologies Familiarity with cloud-based infrastructure and deployment, specifically on GCP Strong knowledge of programming languages such as Python, Java, and SQL Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Nice-to-have skills Qualifications Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

As a Senior Big Data Platform Engineer at Incedo, you will be responsible for designing and implementing big data platforms to support large-scale data integration projects. You will work with data architects and data engineers to define the platform architecture and build the necessary infrastructure. You will be skilled in big data technologies such as Hadoop, Spark, and Kafka and have experience in cloud computing platforms such as AWS or Azure. You will be responsible for ensuring the performance, scalability, and security of the big data platform and troubleshooting any issues that arise. Roles & Responsibilities: Designing, developing and maintaining large-scale big data platforms using technologies like Hadoop, Spark and Kafka Creating and managing data warehouses, data lakes and data marts Implementing and optimizing ETL processes and data pipelines Developing and maintaining security and access controls Troubleshooting and resolving big data platform issues Collaborating with other teams to ensure the consistency and integrity of data Technical Skills Skills Requirements: Experience with big data processing technologies such as Apache Hadoop, Apache Spark, or Apache Kafka. Understanding of distributed computing concepts such as MapReduce, Spark RDDs, or Apache Flink data streams. Familiarity with big data storage solutions such as HDFS, Amazon S3, or Azure Data Lake Storage. Knowledge of big data processing frameworks such as Apache Hive, Apache Pig, or Apache Impala. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Nice-to-have skills Qualifications Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Role Description Understands the process flow and the impact on the project module outcome. Works on coding assignments for specific technologies basis the project requirements and documentation available Debugs basic software components and identifies code defects. Focusses on building depth in project specific technologies. Expected to develop domain knowledge along with technical skills. Effectively communicate with team members, project managers and clients, as required. A proven high-performer and team-player, with the ability to take the lead on projects. Design and create S3 buckets and folder structures (raw, cleansed_data, output, script, temp-dir, spark-ui) Develop AWS Lambda functions (Python/Boto3) to download Bhav Copy via REST API and ingest into S3 Author and maintain AWS Glue Spark jobs to: partition data by scrip, year and month convert CSV to Parquet with Snappy compression Configure and run AWS Glue Crawlers to populate the Glue Data Catalog Write and optimize AWS Athena SQL queries to generate business-ready datasets Monitor, troubleshoot and tune data workflows for cost and performance Document architecture, code and operational runbooks Collaborate with analytics and downstream teams to understand requirements and deliver SLAs Technical Skills 3+ years hands-on experience with AWS data services (S3, Lambda, Glue, Athena) PostgreSQL basics Proficient in SQL and data partitioning strategies Experience with Parquet file formats and compression techniques (Snappy) Ability to configure Glue Crawlers and manage the AWS Glue Data Catalog Understanding of serverless architecture and best practices in security, encryption and cost control Good documentation, communication and problem-solving skills Nice-to-have skills Qualifications Qualifications 3-5 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

About the job : Zeta Global is looking for an experienced ML Engineer with industry-proven hands-on experience of delivering machine learning models to production to solve business problems. To be a good fit to join our AI/ML team, you should ideally: Be a thought leader that can work with cross-functional partners to foster a data-driven organization. Be a strong team player, have experience contributing to a large project as part of a collaborative team effort. Have extensive knowledge and expertise with machine learning best-practices and industry standards. Be able to design and execute experiments to measure the impact of new features and machine learning models on business outcomes. Empower the product and engineering teams to make data-driven decisions. What you need to succeed 46 years of proven, hands-on industry experience as a Machine Learning Engineer. Strong command of Python and SQL; experience with distributed computing frameworks like Spark or Hadoop is a significant plus. A bachelors degree in computer science, Mathematics, Physics, Statistics, Operations Research, or a related field is preferred. Solid experience with ML infrastructureincluding model deployment, evaluation, data processing, and debuggingwith a track record of building scalable ML solutions from business requirements. Proficient in Applied LLMs and NLP, with experience developing solutions using frameworks such as Lang Chain, Lang Smith, and backend tools like Fast API. Hands-on experience with LLMs like GPT or Claude is highly desirable. Strong background in building, deploying, and integrating AI agents using LLMs is a big plus. Comfortable with software engineering best practices, including version control, unit/integration testing, and setting up CI/CD pipelines for reliable ML deployment. Committed to high code quality, with an emphasis on thorough code reviews and testing. Excellent communication skills, with the ability to collaborate across technical and non-technical teams and clearly present outcomes to business stakeholders. Our technology runs on the Zeta Marketing Platform, which powers end to end marketing programs for some of the worlds leading brands. With expertise encompassing all digital marketing channels Email, Display, Social, Search and Mobile Zeta orchestrates acquisition and engagement programs that deliver results that are scalable, repeatable and sustainable.

As a Principle Engineer - Data Science and Modeling at Incedo, you will be responsible for developing and deploying predictive models and machine learning algorithms to support business decision-making. You will work with data scientists, data engineers, and business analysts to understand business requirements and develop data-driven solutions. You will be skilled in programming languages such as Python or R and have experience in data science tools such as TensorFlow or Keras. You will be responsible for ensuring that models are accurate, efficient, and scalable. Roles & Responsibilities: Developing and implementing machine learning models and algorithms to solve complex business problems Conducting data analysis and modeling using statistical and data analysis tools Collaborating with other teams to ensure the consistency and integrity of data Providing guidance and mentorship to junior data science and modeling specialists Presenting findings and recommendations to stakeholders Foster a collaborative and supportive work environment, promoting open communication and teamwork. Demonstrate strong leadership skills, with the ability to inspire and motivate team members to perform at their best. Technical Skills Skills Requirements: Proficiency in statistical analysis techniques such as regression analysis, hypothesis testing, or time-series analysis. Knowledge of machine learning algorithms and techniques such as supervised learning, unsupervised learning, or reinforcement learning. Experience with data wrangling and data cleaning techniques using tools such as Python, R, or SQL. Understanding of big data technologies such as Hadoop, Spark, or Hive. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Should be able to identify problems, generate effective solutions, and troubleshoot issues that may arise while working on complex projects. Must Display Adaptability to changing circumstances, new technology, and shifting priorities. Nice-to-have skills Qualifications Qualifications 11-12 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Senior Software Engineer Data Were seeking a Senior Software Engineer or a Lead Software Engineer to join one of our Data Layer teams. As the name implies, the Data Layer is at the core of all things data at Zeta. Our responsibilities include: Developing and maintaining the Zeta Identity Graph platform, which collects billions of behavioural, demographic, locations and transactional signals to power people-based marketing. Ingesting vast amounts of identity and event data from our customers and partners. Facilitating data transfers across systems. Ensuring the integrity and health of our datasets. And much more. As a member of this team, the data engineer will be responsible for designing and expanding our existing data infrastructure, enabling easy access to data, supporting complex data analyses, and automating optimization workflows for business and marketing operations. Essential Responsibilities: As a Senior Software Engineer or a Lead Software Engineer, your responsibilities will include: Building, refining, tuning, and maintaining our real-time and batch data infrastructure Daily use technologies such as Spark, Airflow, Snowflake, Hive, Scylla, Django, FastAPI, etc. Maintaining data quality and accuracy across production data systems Working with Data Engineers to optimize data models and workflows Working with Data Analysts to develop ETL processes for analysis and reporting Working with Product Managers to design and build data products Working with our DevOps team to scale and optimize our data infrastructure Participate in architecture discussions, influence the road map, take ownership and responsibility over new projects Participating in on-call rotation in their respective time zones (be available by phone or email in case something goes wrong) Desired Characteristics: Minimum 5-10 years of software engineering experience. Proven long term experience and enthusiasm for distributed data processing at scale, eagerness to learn new things. Expertise in designing and architecting distributed low latency and scalable solutions in either cloud and on-premises environment. Exposure to the whole software development lifecycle from inception to production and monitoring Fluency in Python or solid experience in Scala, Java Proficient with relational databases and Advanced SQL Expert in usage of services like Spark and Hive Experience with web frameworks such as Flask, Django Experience in adequate usage of any scheduler such as Apache Airflow, Apache Luigi, Chronos etc. Experience in Kafka or any other stream message processing solutions. Experience in adequate usage of cloud services (AWS) at scale Experience in agile software development processes Excellent interpersonal and communication skills Nice to have: Experience with large scale / multi-tenant distributed systems Experience with columnar / NoSQL databases Vertica, Snowflake, HBase, Scylla, Couchbase Experience in real team streaming frameworks Flink, Storm Experience in open table formats such as Iceberg, Hudi or Deltalake

Job Description Associate Director – New Products Introduction Our organization is a global health care leader with a diversified portfolio of prescription medicines, vaccines and animal health products. The difference between potential and achievement lies in the spark that fuels innovation and inventiveness; this is the space where our organization has codified its 125-year legacy. Our success is backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare. As our organization in India moves towards accelerating access and rapidly scaling the commercial business, we are seeking a New Products Lead. The NPI Lead will play a strong role in supporting the India Leadership team, ensuring that the assets in Our Company product pipeline are evaluated from commercial perspective readying for timely Launch & Access in India. Key Responsibilities Pipeline Management Proactively identify, assess, and prioritize new pharmaceutical products and candidates within our company global pipeline that have the potential to meet the specific healthcare needs and market opportunities in India. This involves conducting rigorous scientific and commercial evaluations, aligning product attributes with local epidemiology, regulatory requirements, and patient demographics. Monitor the progress of these products through various development stages, ensuring timely decision-making to optimize the portfolio for maximum impact and return on investment. Stakeholder Engagement Establish and nurture strong, collaborative relationships with a diverse range of stakeholders at market, region and global level, including regional business leaders like APLT, global product teams, clinical development and regulatory affairs team, and external partners such as healthcare providers and key opinion leaders. Facilitate transparent and effective communication channels to ensure alignment on strategic priorities. Provide regular, data-driven updates and strategic insights to senior leadership, highlighting the potential value, risks, and opportunities within the pipeline. Act as a trusted advisor by delivering actionable recommendations based on comprehensive analysis and market intelligence. Market Landscape Analysis Conduct in-depth analyses of the Indian pharmaceutical market landscape, including competitive products, emerging therapies, regulatory trends, payer environments, and patient access challenges. Develop a nuanced understanding of therapeutic areas relevant to the pipeline, identifying unmet medical needs and potential barriers to entry. Utilize this intelligence to inform and refine product positioning, pricing strategies, and market access plans, ensuring that the product strategy is both competitive and aligned with broader healthcare system goals. Financial Modeling Design and execute detailed financial models to evaluate the commercial viability and forecast the financial performance of new product candidates. Incorporate variables such as market size, pricing scenarios, reimbursement pathways, cost of goods, marketing expenses, and competitive dynamics. Use these models to support investment decisions, resource allocation, and strategic planning, providing clear, quantitative justifications for product prioritization and launch readiness. Cross-Functional Collaboration Support cross-functional teams including marketing, sales, regulatory affairs, medical affairs, and supply chain in coordinating product development and launch activities. Assist in organizing workshops, strategy sessions, and project tracking to help keep teams aligned on goals, timelines, and deliverables. Help gather and incorporate market insights and customer feedback into product development efforts to contribute to effective and market-driven launch plans. Strategy Development Develop and maintain a clear, strategic agenda for all product-related discussions and decision-making forums. Ensure that these agendas are focused on addressing the most critical unmet medical needs in the Indian market while aligning with our company’s overarching corporate goals and values. Prepare detailed briefing materials, prioritize discussion topics, and guide meetings to foster productive dialogue and consensus-building among stakeholders. Continuously revisit and adjust the agenda based on evolving market conditions, pipeline developments, and organizational priorities. Qualifications & Experience Graduate/ postgraduate from a Top Tier Engineering/ B School. 8+ years of experience in a project management, strategy and/or analytics role ideally in a healthcare corporate, startup and/or a leading consulting firm. Skills Shaping the future of new product development landscape of our company. Delivering in an increasingly complex industry landscape navigating multiple evolving challenges Execution Excellence Project execution, attention to detail and coordination skills Proven track record of “getting things done”. Strong analytical and problem-solving skills with experience in excel analysis / modeling Excellent communication and interpersonal skills, with the ability to engage and influence stakeholders at all levels – regional and global. Proven ability to work collaboratively in cross-functional teams. Analytical thinking ability to problem solve, think holistically about organizational solutions to complex problems, create order and simplicity out of complex problems. We are a research-driven biopharmaceutical company. Our mission is built on the simple premise that if we “follow the science” and that great medicines can make a significant impact to our world. And we believe that a research-driven enterprise dedicated to world-class science can succeed by inventing medicine and vaccine innovations that make a difference for patients across the globe. Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Adaptability, Business, Content Creation, Cross-Functional Teamwork, Customer Engagement, Data Analysis, Digital Marketing, Direct Marketing, Email Marketing, Innovation, Marketing Automation, Marketing Communications Planning, Product Management, Product Planning, Search Engine Marketing (SEM), Social Media Operations, Software Product Management, Strategic Thinking, Vendor Management Preferred Skills Job Posting End Date 08/1/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R357809

Job Reference # 319538BR Job Type Full Time Your role Are you fascinated by Advanced Analytics leveraging the latest Big Data technologies? We’re looking for a Senior Data Engineer to design, develop, lead the implementations of data products for analytics and business intelligence systems. At this role, you will: involve in the end-to-end development lifecycle of data engineering projects, from conceptualization to deployment, ensuring high-quality and scalable. recognize opportunities to reuse existing data flows and optimize to perform optimally lead the build of data ingestion and transformations that align with business needs ensure the quality, security, reliability, and compliance of our solutions by applying our digital principles and implementing both functional and non-functional requirements. work on data management - build, test, and maintain data pipelines fostering a culture of a continuous learning and mindsets for ways to improve, automate and reduce time to market. Your team You'll be part of the WMA STAAT Analytics team in Pune. We are developing cutting edge digital solutions to help internal and external clients make better decisions with data. You will be part of a growing team that is focused on blending solutions covering digital marketing, technology, optimization and analytics to drive business results and digital transformation. You'll be working in a global team, with colleagues in the United Kingdom, the United States and India. Your expertise understanding of data modelling, data warehousing principles and lakehouse architecture. excellent hands on / programming skills on big data analytics azure cloud & on-prem technologies - spark, python, azure synapse, data factory , azure databricks. advanced working knowledge of sql with experience in dwh / etl implementation and understand the etl/elt design patterns. good understanding of columnar and/or time series data design patterns and performance turning techniques understand the impact on the organisation of emerging trends in data tools, analysis techniques and data usage understanding of data / information security principles to ensure compliant handling and management of data experience in application development , including analyzing stories, writing code, implementing automated tests, contributing to release and iteration planning and developing the working practices of the team a conceptual understanding of software development including the full project lifecycle from working on multiple substantial projects using agile development methodologies About Us UBS is the world’s largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors. We have a presence in all major financial centers in more than 50 countries. How We Hire We may request you to complete one or more assessments during the application process. Learn more Join us At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We’re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. We also recognize that great work is never done alone. That’s why collaboration is at the heart of everything we do. Because together, we’re more than ourselves. We’re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us. Disclaimer / Policy Statements UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.

Job Reference # 320031BR Job Type Full Time Your role Are you fascinated by advanced analytics leveraging the latest Big Data technologies? We’re looking for a Senior Data Engineer to design, develop, lead the implementations of data products for analytics and business intelligence systems. At this role, you will: involve in the end-to-end development lifecycle of data engineering projects, from conceptualization to deployment, ensuring high-quality and scalable. recognize opportunities to reuse existing data flows and optimize to perform optimally lead the build of data ingestion and transformations that align with business needs ensure the quality, security, reliability, and compliance of our solutions by applying our digital principles and implementing both functional and non-functional requirements. work on data management - build, test, and maintain data pipelines fostering a culture of a continuous learning and mindsets for ways to improve, automate and reduce time to market. Your team You'll be part of the WMA STAAT Analytics team in Pune. We are developing cutting edge digital solutions to help internal and external clients make better decisions with data. You will be part of a growing team that is focused on blending solutions covering digital marketing, technology, optimization and analytics to drive business results and digital transformation. You'll be working in a global team, with colleagues in the United Kingdom, the United States and India. Your expertise understanding of data modelling, data warehousing principles and lakehouse architecture. excellent hands on / programming skills on big data analytics azure cloud & on-prem technologies - spark, python, azure synapse, data factory , azure databricks. advanced working knowledge of sql with experience in dwh / etl implementation and understand the etl/elt design patterns. good understanding of columnar and/or time series data design patterns and performance turning techniques understand the impact on the organization of emerging trends in data tools, analysis techniques and data usage understanding of data / information security principles to ensure compliant handling and management of data communicate effectively with technical and non-technical stakeholders experience in application development , including analyzing stories, writing code, implementing automated tests, contributing to release and iteration planning and developing the working practices of the team About Us UBS is the world’s largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors. We have a presence in all major financial centers in more than 50 countries. How We Hire We may request you to complete one or more assessments during the application process. Learn more Disclaimer / Policy Statements UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.

Job Title: Data Scientist Location: [Insert Location] Experience: 5–10 years (flexible based on expertise) Employment Type: Full-Time Compensation: [Insert Budget / Competitive as per industry standards] About the Role: We are looking for a highly skilled and innovative Data Scientist with deep expertise in Machine Learning, AI, and Cloud Technologies to join our dynamic analytics team. The ideal candidate will have hands-on experience in NLP, LLMs, Computer Vision , and advanced statistical techniques, along with the ability to lead cross-functional teams and drive data-driven strategies in a fast-paced environment. Key Responsibilities: Develop and deploy end-to-end machine learning pipelines including data preprocessing, modeling, evaluation, and production deployment. Work on cutting-edge AI/ML applications such as LLM-finetuning, NLP, Computer Vision, Hybrid Recommendation Systems , and RAG/CAG techniques . Leverage platforms like AWS (SageMaker, EC2) and Databricks for scalable model development and deployment. Handle data at scale using Spark, Python, SQL , and integrate with NoSQL and Vector Databases (Neo4j, Cassandra) . Design interactive dashboards and visualizations using Tableau for actionable insights. Collaborate with cross-functional stakeholders to translate business problems into analytical solutions. Guide data curation efforts and ensure high-quality training datasets for supervised and unsupervised learning. Lead initiatives around AutoML, XGBoost, Topic Modeling (LDA/LSA), Doc2Vec , and Object Detection & Tracking . Drive agile practices including Sprint Planning, Resource Allocation, and Change Management . Communicate results and recommendations effectively to executive leadership and business teams. Mentor junior team members and foster a culture of continuous learning and innovation. Technical Skills Required: Programming: Python, SQL, Spark Machine Learning & AI: NLP, LLMs, Deep Learning, Computer Vision, Hybrid Recommenders Techniques: RAG, CAG, LLM-Finetuning, Statistical Modeling, AutoML, Doc2Vec Data Platforms: AWS (SageMaker, EC2), Databricks Databases: SQL, NoSQL, Neo4j, Cassandra, Vector DBs Visualization Tools: Tableau Certifications (Preferred): IBM Data Science Specialization Deep Learning Nanodegree (Udacity) SAFe® DevOps Practitioner Certified Agile Scrum Master Professional Competencies: Proven experience in team leadership, stakeholder management , and strategic planning . Strong cross-functional collaboration and ability to drive alignment across product, engineering, and analytics teams. Excellent problem-solving, communication, and decision-making skills. Ability to manage conflict resolution, negotiation , and performance optimization within teams.

Your Team Responsibilities The Data Technology team at MSCI is responsible for meeting the data requirements across various business areas, including Index, Analytics, and Sustainability. Our team collates data from multiple sources such as vendors (e.g., Bloomberg, Reuters), website acquisitions, and web scraping (e.g., financial news sites, company websites, exchange websites, filings). This data can be in structured or semi-structured formats. We normalize the data, perform quality checks, assign internal identifiers, and release it to downstream applications. Your Key Responsibilities As data engineers, we build scalable systems to process data in various formats and volumes, ranging from megabytes to terabytes. Our systems perform quality checks, match data across various sources, and release it in multiple formats. We leverage the latest technologies, sources, and tools to process the data. Some of the exciting technologies we work with include Snowflake, Databricks, and Apache Spark. Your Skills And Experience That Will Help You Excel Core Java, Spring Boot, Apache Spark, Spring Batch, Python. Exposure to sql databases like Oracle, Mysql, Microsoft Sql is a must. Any experience/knowledge/certification on Cloud technology preferrably Microsoft Azure or Google cloud platform is good to have. Exposures to non sql databases like Neo4j or Document database is again good to have. About MSCI What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum. At MSCI we are passionate about what we do, and we are inspired by our purpose – to power better investment decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process. MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com

About Us As a Fortune 50 company with more than 4000,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Working at Target means the opportunity to help all families discover the joy of everyday life. Caring for our communities is woven into who we are, and we invest in the places we collectively live, work and play. We prioritize relationships, fuel and develop talent by creating growth opportunities, and succeed as one Target team. At our core, our purpose is ingrained in who we are, what we value, and how we work. It’s how we care, grow, and win together. Position Overview We are seeking a highly skilled Senior Backend Engineer with expertise in distributed systems and extensive knowledge of Spring Boot to join our dynamic team. The ideal candidate will be responsible for designing, developing, and maintaining high-performance, scalable distributed systems using Java and related technologies. As a Senior Backend Engineer, you will play a crucial role in architecting and implementing solutions that meet the demands of our rapidly growing platform. Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs. Responsibilities Design & build high-quality, scalable, and resilient distributed systems with Java and Spring Boot. Collaborate with product, architecture, and UX partners to gather requirements, define architecture, and translate them into working software. Apply best practices for distributed systems—fault tolerance, horizontal scalability, performance tuning, and observability. Write clean, maintainable code and comprehensive tests that follow established standards. Review code & mentor junior engineers, offering constructive feedback and coaching. Troubleshoot production issues, isolate root causes, and deliver timely fixes with minimal user impact. Stay current on emerging tech, industry trends, and Java/Spring ecosystem updates, sharing insights with the team. Participate fully in Agile rituals (sprint planning, daily stand-ups, retros) and deliver work within committed time frames. Partner with DevOps to automate CI/CD pipelines and optimise runtime performance in Kubernetes. Contribute to architecture reviews, documenting designs, decisions, and runbooks. About You Bachelor’s degree in Computer Science (or equivalent practical experience). 3+ years of professional software development. Deep proficiency with Spring Boot (Core, MVC/WebFlux, Data/JPA, Security). Hands-on experience with microservices, REST APIs, and messaging (Kafka or RabbitMQ). Solid grasp of distributed-systems principles (CAP theorem, consensus, data consistency). Familiar with cloud-native deployment on Kubernetes/Docker; Skilled in both relational (MySQL/Postgres) and NoSQL (MongoDB/Redis) data stores, including schema design and tuning. Working knowledge of modern engineering workflows: Git, CI/CD, automated testing, and observability. Strong problem-solving, communication, and cross-functional collaboration skills. Proven track record of shipping high-quality software in fast-moving environments. Nice to have: Apache Spark, Hadoop, or other big-data platforms

About Us As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview About TII At Target, we have a timeless purpose and a proven strategy. And that hasn’t happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target’s global team and has more than 4,000 team members supporting the company’s global strategy Data & Analytics Behind one of the world’s best loved brands is a uniquely capable and brilliant team of data scientists, engineers and analysts. The Target Data & Analytics team creates the tools and data products to sustainably educate and enable our business partners to make great data-based decisions at Target. We help develop the technology that personalizes the guest experience, from product recommendations to relevant ad content. We’re also the source of the data and analytics behind Target’s Internet of Things (iOT) applications, fraud detection, Supply Chain optimization and demand forecasting. We play a key role in identifying the test-and-measure or A/B test opportunities that continuously help Target improve the guest experience, whether they love to shop in stores or at Target.com. About You Four-year degree or equivalent experience 3+ year as a Data Analyst with strong academic performance in a quantitative field; or strong equivalent experience [add any specific analyst experience needed here] Advanced SQL experience writing complex queries Intermediately accomplished with Python or R Solid problem solving, analytical skills, data curiosity, data mining, Data creation and consolidation Support conclusions with a clear, understandable story that leverages descriptive statistics, basic inferential statistics, and data visualizations Willingness to ask questions about business objectives and the measurement needs for a project workstream, and be able to measure objectives & key results Excellent communication skills with the ability to speak to both business and technical teams, and translate ideas between them Knowledge of AB Testing methods, time series, S&OP planning, Forecasting models including statistical analysis Experience in analytics tools such as: SQL, Excel, Hadoop, Hive, Spark, Python, R, Domo, Adobe Analytics (or Google Analytics) and/or equivalent technologies Useful Links- Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging