14398 Spark Jobs - Page 15

About Gap Inc. Our past is full of iconic moments — but our future is going to spark many more. Our brands — Gap, Banana Republic, Old Navy and Athleta — have dressed people from all walks of life and all kinds of families, all over the world, for every occasion for more than 50 years. But we’re more than the clothes that we make. We know that business can and should be a force for good, and it’s why we work hard to make product that makes people feel good, inside and out. It’s why we’re committed to giving back to the communities where we live and work. If you're one of the super-talented who thrive on change, aren't afraid to take risks and love to make a difference, come grow with us. About The Role In this role, you will be part of the Franchise Merchandise Planning team, bringing the financial strategy behind our Gap product vision to life for Franchisees across India. As Manager, Merchandise Planning, you will drive the success of multiple divisions and product categories by executing wholesale and margin budgets, leveraging product performance analysis across key accounts. You are passionate about using your qualitative and quantitative skillset in a corporate fashion retail environment and find joy in identifying global market nuances. You are curious, innovative, and focused on executing an amazing customer experience across the global while delivering/exceeding financial targets. Strong analytical and storytelling skills will serve you well, and a collaborative mindset is a must. This position is based in Bangalore and requires the ability to commute locally to franchise offices for regular business meetings. The role involves close collaboration with cross-functional teams, including Franchise Merchandising, Account Management & Planning, Product Operations, Business Analytics, Store Experience, Marketing, and the Gap Brand Omni Product and Planning teams. What You'll Do Partner cross-functionally with Franchise Merchants and Account Planning to develop and communicate comprehensive financial strategies that align with product opportunities by division and department. Create and manage preseason strategies to drive wholesale, margin, and inventory that support product and business goals, incorporating market nuances. Analyze historical data and in-season performance to identify risks, opportunities, and trends by division and department, recommending actions to achieve financial targets. Present financial findings and action plans in Open-to-Buy meetings and cross-functional reviews, influencing seasonal investments and setting financial benchmarks at the partner level. Lead regular business presentation, sharing financial results, product learnings, and recommended actions with cross-functional partners and senior leadership. Collaborate with global peers to ensure consistency of strategy and tools, share best practices, and foster a results-oriented, innovative planning environment. Build strong partnerships with internal teams (Merchandising, Production, Distribution, Company Planning, etc) and external Franchisees, ensuring alignment and communication throughout the planning and buying process. Continuously evolve planning processes and tools to meet the needs of a dynamic retail environment and diverse Franchisee markets, driving efficiency and performance. Who You Are Proficient in Excel, including data manipulation and advanced formulas; comfortable navigating planning systems and tools. Demonstrates strong business acumen and strategic agility, with the ability to manage multiple projects and prioritize effectively in a fast-paced environment. Builds effective, collaborative relationships across diverse teams and time zones; believes in the power of teamwork and partnership. Self-starter with strong problem-solving skills, able to assess complex situations, analyze data, and drive solutions with speed and creativity. Strong communicator, with excellent listening, written, and verbal skills; able to clearly present ideas and influence stakeholders. Thrives in a self-directed role, using initiative and resourcefulness to achieve goals and resolve issues independently. Flexibility to participate in calls outside regular business hours as needed to support global operations and cross-regional collaboration. Ability to travel internationally on a regular basis as needed. Minimum of 5–7+ years of merchandise planning or buying experience, with a proven track record of delivering results. Wholesale or consulting experience is a plus, especially in cross-functional or client-facing environments. Benefits at Gap Inc. One of the most competitive paid time off plans in the industry Comprehensive health coverage for employees, same-sex partners and their families Health and wellness program: free annual health check-ups, fitness center and Employee Assistance Program Comprehensive benefits to support the journey of parenthood Retirement planning assistance See more of the benefits we offer. Gap Inc. is an equal-opportunity employer and is committed to providing a workplace free from harassment and discrimination. We are committed to recruiting, hiring, training and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We have received numerous awards for our long-held commitment to equality and will continue to foster a diverse and inclusive environment of belonging. In 2022, we were recognized by Forbes as one of the World's Best Employers and one of the Best Employers for Diversity.

About Gap Inc. Our past is full of iconic moments — but our future is going to spark many more. Our brands — Gap, Banana Republic, Old Navy and Athleta — have dressed people from all walks of life and all kinds of families, all over the world, for every occasion for more than 50 years. But we’re more than the clothes that we make. We know that business can and should be a force for good, and it’s why we work hard to make product that makes people feel good, inside and out. It’s why we’re committed to giving back to the communities where we live and work. If you're one of the super-talented who thrive on change, aren't afraid to take risks and love to make a difference, come grow with us. About The Role In this role, you will be accountable for the development process and strategy execution for the assigned fabric/product departments. You will also be responsible to execute the overall country and mill/vendor strategy for the department in partnership with the relevant internal teams. What You'll Do Manage the fabric / product / vendor development process (P2M) in a timely manner (development sampling, initial costs, negotiation/ production & capacity planning to meets the design aesthetic as well as commercially acceptable quality standards) Manage relationships with mills/vendors and support vendor allocation & aggregated costing along with overall capacity planning aligned to the cost targets to drive competitive advantage Partner with mills/vendors to drive innovation initiatives and superior quality while resolving any fabric/product and quality issues pro actively Onboard new mills/vendors and provide training to existing mills/vendors along with supporting the evaluation process Look for opportunities for continuous improvement in fabric/product/vendor development, process management and overall sourcing procedures Develop communication skills to exchange complex information Manage projects and program execution within area of specialty and ensures quality of work Who You Are Proven success in applying fully functional professional knowledge in global fabric/product/vendor development and understands design, merchandising, and global sourcing landscape Ability to drive results through planning and prioritizing along with influencing others and providing recommendations & solutions Anticipate operational/program issues and develops preventative measures Benefits at Gap Inc. One of the most competitive paid time off plans in the industry Comprehensive health coverage for employees, same-sex partners and their families Health and wellness program: free annual health check-ups, fitness center and Employee Assistance Program Comprehensive benefits to support the journey of parenthood Retirement planning assistance See more of the benefits we offer. Gap Inc. is an equal-opportunity employer and is committed to providing a workplace free from harassment and discrimination. We are committed to recruiting, hiring, training and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We have received numerous awards for our long-held commitment to equality and will continue to foster a diverse and inclusive environment of belonging. In 2022, we were recognized by Forbes as one of the World's Best Employers and one of the Best Employers for Diversity.

Microsoft’s Cloud business is expanding, and the Cloud Supply Chain (CSCP) organization is responsible for enabling the hardware infrastructure underlying this growth including AI! CSCP’s vision is to empower customers to achieve more by delivering Cloud and AI capabilities at scale. Our mission is to deliver the world's computer with an industry-leading supply chain. The CSCP organization is responsible for traditional supply chain functions such as plan, source, make, deliver, but also manages supportability (spares), sustainability, and decommissioning of datacenter assets worldwide. We deliver the core infrastructure and foundational technologies for Microsoft's over 200 online businesses including Bing, MSN, Office 365, Xbox Live, OneDrive and the Microsoft Azure platform for external customers. Our infrastructure is supported by more than 300 datacenters around the world that enable services for more than 1 billion customers in over 90 countries. Microsoft Cloud Planning (MCP) is the central planning function within CSCP focused on forecasting, demand planning, and supply planning for all Microsoft Cloud services and associated hardware, directly impacting the success of Microsoft's cloud business. Responsibilities Researching and developing production-grade models (forecasting, anomaly detection, optimization, clustering, etc.) for our global cloud business by using statistical and machine learning techniques. Manage large volumes of data, and create new and improved solutions for data collection, management, analyses, and data science model development. Drive the onboarding of new data and the refinement of existing data sources through feature engineering and feature selection. Apply statistical concepts and cutting-edge machine learning techniques to analyze cloud demand and optimize our data science model code for distributed computing platforms and task automation. Work closely with other data scientists and data engineers to deploy models that drive cloud infrastructure capacity planning. Present analytical findings and business insights to project managers, stakeholders, and senior leadership and keep abreast of new statistical / machine learning techniques and implement them as appropriate to improve predictive performance. Oversees and directs the plan or forecast across the company for demand planning. Evangelizes the demand plan with other leaders. Drives clarity and understanding of what is required to achieve the plan (e.g., promotions, sales resources, collaborative planning, forecasting, and replenishment [CPFR], budget, engineering changes) and assesses plans to mitigate potential risks and issues. Oversees the analysis of data and leads the team in identifying trends, patterns, correlations, and insights to develop new forecasting models and improve existing models. Oversees development of short and long term (e.g., weekly, monthly, quarterly) demand forecasts and develops and publishes key forecast accuracy metrics. Analyzes data to identify potential sources of forecasting error. Serves as an expert resource and leader of demand planning across the company and ensures that business drivers are incorporated into the plan (e.g., forecast, budget). Leads collaboration among team and leverages data to identify pockets of opportunity to apply state-of-the-art algorithms to improve a solution to a business problem. Consistently leverages knowledge of techniques to optimize analysis using algorithms. Modifies statistical analysis tools for evaluating Machine Learning models. Solves deep and challenging problems for circumstances such as when model predictions are not correct, when models do not match the training data or the design outcomes when the data is not clean when it is unclear which analyses to run, and when the process is ambiguous. Provides coaching to team members on business context, interpretation, and the implications of findings. Interprets findings and their implications for multiple businesses, and champions methodological rigor by calling attention to the limitations of knowledge wherever biases in data, methods, and analysis exist. Generates and leverages insights that inform future studies and reframe the research agenda. Informs both current business decisions by implementing and adapting supply-chain strategies through complex business intelligence. Connects across functional teams and the broader organization outside of Demand Planning to advocate for continuous improvement and maintain best practices. Leads broad governance and rhythm of the business processes that ensure cross-group collaboration, discussion of key issues, and an opportunity to build proposed solutions to address current or future business needs. Qualifications Required: M.Sc. in Statistics, Applied Mathematics, Applied Economics, Computer Science or Engineering, Data Science, Operations Research or similar applied quantitative field 4-8 years of industry experience in developing production-grade statistical and machine learning code in a collaborative team environment. Prior experience in machine learning using R or Python (scikit / numpy / pandas / statsmodel). Prior experience in time series forecasting. Prior experience with typical data management systems and tools such as SQL. Knowledge and ability to work within a large-scale computing or big data context, and hands-on experience with Hadoop, Spark, DataBricks or similar. Excellent analytical skills; ability to understand business needs and translate them into technical solutions, including analysis specifications and models. Creative thinking skills with emphasis on developing innovative methods to solve hard problems under ambiguity and no obvious solutions. Good interpersonal and communication (verbal and written) skills, including the ability to write concise and accurate technical documentation and communicate technical ideas to non-technical audiences. Preferred PhD in Statistics, Applied Mathematics, Applied Economics, Computer Science or Engineering, Data Science, Operations Research or similar applied quantitative field. Experience in machine learning using R or Python (scikit / numpy / pandas / statsmodel) with skill level at or near fluency. Experience with deep learning models (e.g., tensorflow, PyTorch, CNTK) and solid knowledge of theory and practice. Practical and professional experience contributing to and maintaining a large code base with code versioning systems such as Git. Knowledge of supply chain models, operations research techniques, optimization modelling and solvers. Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

The Experience plus Devices (E+D) Growth team is seeking engineers to help accelerate the adoption of Copilot and Microsoft 365. Our team is uniquely positioned at the strategic epicenter of E+D for revolutionizing the productivity business by delivering embedded experiences across the Microsoft 365 suite (Teams, Outlook, Word, PowerPoint, Excel, etc.) that drive the growth of our company’s cutting-edge generative AI solutions across the commercial and consumer spectrum. Our team tackles technical challenges across a diverse tech stack, with the solutions we deliver having a direct impact on the bottom line of the business. This role requires strategic and creative thinking, as well as a passion for building technical solutions that address customer needs. We are a modern engineering organization that embodies industry best practices in Product-Led Growth (PLG). We are data-informed, hypothesis-driven, and rigorous in measuring outcomes to ensure undeniable customer and business impact. We collaborate closely with industry-leading PMs, designers, data scientists, user researchers, and marketers to build deep customer insights that inform the design of experiences used by hundreds of millions of people every day. We partner with teams across the company to deliver world-class services, and we create experiences that connect with customers across Microsoft products. We play a direct role in driving business growth and framing our business value to end users and our vibrant community of fans. We are looking for a Software Engineer to join us. Building a successful team involves creating an inclusive workplace where all people and ideas are welcome. We invest in the health of our team and take "how we work" as seriously as the impact we have on customers and the business. You don’t need to know everything when you join our team; just bring your growth mindset and willingness to learn, and we will provide mentorship and career growth to help you succeed. The Team's Focus Is On Following 3 Main Areas Full-Stack: Develop end-to-end features using React/TypeScript frontends paired with C#/.NET REST or GraphQL APIs and scalable data models—built to support millions of daily users. Backend: Design and scale Azure-hosted services in C#/.NET that handle hundreds of millions of requests daily, with opportunities to lead the adoption of event-driven architectures. Client: Deliver high-performance native Android/iOS/Windows/macOS experiences using modern C++, Java, Kotlin, Objective-C, Swift and platform-specific frameworks, enabling contextual Product-Led Growth motions within Microsoft 365 apps. As a Principal Software Engineer you will play a critical role in driving the adoption and monetization of Microsoft 365 Copilot through Product-Led Growth methodologies. We are seeking a highly driven Principal Software Engineer to lead with technical vision, hands-on execution, and a strong sense of accountability. This role is ideal for an engineering leader who thrives on solving complex problems, influencing cross-functional teams, and driving architectural and organizational transformation. You’ll operate across the entire stack, influence technical direction, and help shape the culture and values of the engineering organization. The position require building new experiences, running experimentation and making data driven decision to make a ship candidates. The role will provide opportunities for impact in a high growth area for E+D. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. We are builders, explorers, and connectors and we are looking for a like-minded Software Engineers who thrives on driving big ideas from spark to scale. We are looking for candidates with a growth mindset, and someone who fosters collaboration with teammates and partners. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. Responsibilities Partners with appropriate stakeholders to determine user requirements for a set of scenarios. Leads identification of dependencies and the development of design documents for a product, application, service, or platform. Leads by example and mentors others to produce extensible and maintainable code used across products. Leverages subject-matter expertise of cross-product features with appropriate stakeholders (e.g., project managers) to drive multiple group's project plans, release plans, and work items. Holds accountability as a Designated Responsible Individual (DRI), mentoring engineers across products/solutions, working on-call to monitor system/product/service for degradation, downtime, or interruptions. Proactively seeks new knowledge and adapts to new trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale and shares knowledge with other engineers. Qualifications Required Qualifications: Bachelor's Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Exceptional skills in influencing and aligning diverse stakeholders across product, design, marketing, research, and business disciplines. Ability to think strategically while diving deep into details, you can balance big-picture vision with day-to-day execution. Experience working with AI/ML-powered experiences, platform services, or large-scale subscription businesses is a plus. Passion for customer-centric innovation, operational excellence, and building inclusive, high-performance team cultures. #ExDGrowth #IDCMicrosoft #DPG Other Requirements Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

As a Senior Data Scientist at Mastercard, you will be part of a team that focuses on data assets and their value within the organization. You will play a crucial role in building large-scale analytical capabilities that support end users across 6 continents. Your expertise in data science and analytics will make you the go-to resource for driving data-driven decision-making and product optimization. In this role, you will collaborate closely with the global optimization solutions team to architect, develop, and maintain advanced reporting and data visualization capabilities on large volumes of data. Your responsibilities will include building solutions using machine learning, creating actionable insights to support product optimization and sales enablement, and prototyping new algorithms to drive the evolution of products with a focus on data science and engineering. You will design machine learning systems and AI software to automate predictive models, perform data ingestion, aggregation, and processing on high-volume and high-dimensionality data, and continuously innovate to solve complex business problems and generate valuable insights and recommendations. Your strong analytical skills and knowledge of metrics, measurements, and benchmarking will be essential in delivering compelling insights. To excel in this role, you should have a superior academic background in Computer Science, Data Science, Technology, Mathematics, Statistics, or a related field, or equivalent work experience. Experience in data management, data mining, data analytics, data reporting, and quantitative analysis will be valuable. Proficiency in using Python/Spark, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi), and SQL to build Big Data products & platforms is required. Knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture is essential. Experience with Enterprise Business Intelligence Platform/Data platform such as Tableau, PowerBI, and prior experience working in a product development role will be advantageous. Strong communication skills and the ability to interact with stakeholders to understand technical needs and ensure analyses and solutions meet their requirements effectively are key. You should be able to work both independently and as part of a team in a fast-paced, deadline-driven environment. If you are passionate about data science, analytics, and driving business value through data insights, this role offers an exciting opportunity to leverage your skills and make a significant impact in a global organization like Mastercard.,

At PwC, our team in managed services specializes in providing outsourced solutions and supporting clients across various functions. We assist organizations in streamlining their operations, cutting costs, and enhancing efficiency by managing key processes and functions on their behalf. Our expertise in project management, technology, and process optimization enables us to deliver top-notch services to our clients. If you join our managed service management and strategy team at PwC, your focus will involve transitioning and running services, managing delivery teams, programs, commercials, performance, and delivery risk. Your responsibilities will include working on continuous improvement, optimizing managed services processes, tools, and services. As a Specialist in the Data Analytics & Insights Managed Service tower, you will work alongside a team of problem solvers to address complex business issues from strategy to execution using your skills in Data, Analytics, and Insights. Your role at this management level will require you to use feedback and reflection to enhance self-awareness, demonstrate critical thinking, and maintain high standards of quality in your work. You will also be responsible for reviewing ticket quality and deliverables, status reporting for projects, adherence to SLAs, incident management, change management, problem management, and more. To excel in this position, you should possess primary skills in ETL/ELT, SQL, Informatica, and Python, along with secondary skills in Azure/AWS/GCP, Talend, DataStage, etc. As a Data Engineer, you must have a minimum of 1 year of experience in Operate/Managed Services/Production Support. Your role will involve designing and implementing data pipelines, building ETL/ELT processes, monitoring data pipelines, ensuring data security and privacy, and optimizing schema and performance tuning. Additionally, you should have experience with ITIL processes, strong communication skills, problem-solving abilities, and analytical skills. Certifications in Cloud Technology and experience with visualization tools like Power BI, Tableau, Qlik, etc., are considered nice-to-have qualifications for this role. Our Managed Services in Data, Analytics & Insights focus on delivering integrated solutions that add value to our clients through technology and human-enabled experiences. By joining our team, you will be part of a group dedicated to empowering clients to optimize operations, accelerate outcomes, and drive transformational journeys. We prioritize a consultative approach to operations, leveraging industry insights and world-class talent to achieve sustained client outcomes. Our goal is to provide clients with flexible access to business and technology capabilities that align with the demands of the dynamic business environment.,

The Data Science and AI/ML team collaborates across the organization to identify, develop and deliver Artificial Intelligence (AI) and Machine Learning (ML) powered software solutions that improve patient outcomes, delight partners and customers, and enhance business operations in an AI First fashion. The team works on projects ranging from building sophisticated models to delivering personalized recommendations to patients, analyzing sleep data to optimize equipment and settings, proactively identifying health risk factors, and optimizing global supply chain operations. As a Sr. Machine Learning Engineer, you will play a crucial role in contributing to and leading the development of ML architecture and operations. Your responsibilities include optimizing time to market and quality of AI/ML applications by working on projects within the AI operations team. You will ensure that global AI/ML systems are production-grade, scalable, and utilize cutting-edge technology and methodology. Additionally, you will collaborate with stakeholders, mentor junior team members, and engage with business stakeholders. Key Responsibilities: - Collaborate with Product Management, Engineering, and other stakeholders to create impactful AI/ML features and products. - Work closely with Data Scientists and Data Engineers to own the end-to-end process, train junior team members, and maintain AI/ML architectures. - Document model design, experiments, tests, and outcomes, and stay informed of industry trends. - Implement process improvements, build production-level AI/ML systems, and support technical issues for stakeholders. - Participate in Code Review and handle escalated incidents to resolution. Requirements: - 4+ years of industry experience in Machine Learning Engineering, Data Science, or Data Engineering. - M.S or PhD in Data Science/Machine Learning or related areas. - Proficiency in data analytics systems development, model building, and online deployment. - Experience in building scalable AI/ML systems for various advanced problems. - Hands-on experience with large datasets, Python, and cloud-based tools. - Strong mathematical foundation and knowledge of machine learning techniques. Joining the team means more than just a job it's an opportunity to be part of a culture that values excellence, diversity, and innovation. If you are looking for a challenging and supportive environment where your ideas are encouraged, apply now to be a part of our team dedicated to making the world a healthier place. We are committed to reviewing every application we receive.,

As a Software Engineer II at JPMorgan Chase within the Employee Platforms team, you will be part of an agile team responsible for designing and delivering trusted market-leading technology products in a secure, stable, and scalable manner to support the firm's business objectives. Your role involves executing creative software solutions, developing high-quality production code, and identifying opportunities to automate remediation of recurring issues to enhance operational stability. You will lead evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems. Additionally, you will lead communities of practice across Software Engineering to promote the adoption of new and leading-edge technologies. Your responsibilities will include collaborating with stakeholders, demonstrating strong expertise in solving business problems through innovation, and managing the firm's capital reserves effectively. You will collaborate across teams to drive features, eliminate blockers, and produce high-quality documentation of cloud solutions as reusable patterns. To qualify for this role, you should have formal training or certification in software engineering concepts along with at least 2 years of applied experience. You must possess hands-on practical experience in system design, application development, testing, and operational stability. Proficiency in automation, continuous delivery methods, agile methodologies, and advanced programming languages is essential. In addition, knowledge of financial services industry IT systems, Agile SDLC, and various technologies like Python, Big Data, Hadoop, Spark, Scala, Splunk, and application, data, and infrastructure architecture is required. Preferred qualifications include excellent team spirit, ability to work collaboratively, and knowledge of financial instruments. Proficiency in Core Java 8, Spring, JPA/Hibernate, and React JavaScript is desirable for this role.,

We are looking for a talented AI Developer to join our growing team. As an AI Developer, you will be responsible for designing, developing, and implementing AI solutions that meet our clients" needs. You will collaborate with cross-functional teams to integrate AI models into our products and services, leveraging cutting-edge technologies to drive innovation and deliver impactful results. Your responsibilities will include designing and developing AI models and algorithms to solve business problems, implementing machine learning and deep learning algorithms for various applications, collaborating with data scientists and engineers to preprocess data and build datasets for training models, integrating AI models into software applications and platforms, optimizing AI models for performance, scalability, and efficiency, conducting research to stay current with the latest advancements in AI and machine learning technologies, testing and validating AI models to ensure accuracy and reliability, deploying AI models into production environments, and monitoring their performance. Furthermore, you will collaborate with product managers and stakeholders to understand project requirements and propose AI solutions. Requirements: - Bachelor's degree in Computer Science, Engineering, Mathematics, or related field; Master's degree or PhD preferred. - Proficiency in programming languages such as Python, Java, or C++. - Hands-on experience with AI frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). - Strong understanding of machine learning algorithms and techniques (e.g., supervised learning, unsupervised learning, reinforcement learning). - Experience with data preprocessing, feature engineering, and model evaluation. - Knowledge of cloud platforms (e.g., AWS, Azure, GCP) and familiarity with deploying AI models in cloud environments. - Excellent problem-solving skills and ability to work independently as well as part of a team. - Strong communication skills and ability to collaborate effectively with cross-functional teams. Preferred Qualifications: - Experience with natural language processing (NLP) and computer vision applications. - Familiarity with big data technologies (e.g., Hadoop, Spark) for handling large-scale datasets. - Understanding of DevOps practices and experience with CI/CD pipelines. - Publications or contributions to the AI and machine learning community (e.g., research papers, open-source projects).,

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) 9 to 11 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 An inclination to mentor; an ability to lead and deliver medium sized components independently 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: Expertise around 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 Data Governance: A strong grasp of principles and practice including data quality, security, privacy and compliance 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: Experience of using a Job scheduler e.g., Autosys. Exposure to Business Intelligence tools e.g., Tableau, Power BI Certification on any one or more 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.

Reference 250008M4 Responsibilities Develop code and test case scenarios by applying relevant software craftsmanship principles and meet the acceptance criteria. Complete the assigned learning path and contribute to daily meetings. Deliver on all aspects of Software Development Lifecyle (SDLC) in-line with Agile and IT craftsmanship principles. Take part in team ceremonies be it agile practices or chapter meetings. Deliver high-quality clean code and design that can be re-used. Actively, work with other Development teams to define and implement API's and rules for data access. Perform bug-free release validations and produce test and defect reports. Contribute to developing scripts, configuring quality and automating framework usage. Run and maintain test suites with the guidance of seniors. Support existing data models, data dictionary, data pipeline standards, storage of source, process and consumer metadata. Required Profile required 3+ year of expertise and hands on experience in Core java, Python/Spark, and good conceptual understanding of OOPs and Cloud platforms Hands-on experience wirh at least 2 years on PGres or SQL Dbs Have experience of wowrmign in cloud platform migration projects Hands-on experience on API development Prior experience working with CI/CD tools (Maven, Git, jenkins) Good to have working knowledge of Cloud platroms - esp Azure or AWS Professional attitude: Self-motivated, fast learner, team player, independent, ability to handle multiple tasks and functional topic simultaneous Why join us We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status Business insight At Société Générale, we are convinced that people are drivers of change, and that the world of tomorrow will be shaped by all their initiatives, from the smallest to the most ambitious. Whether you’re joining us for a period of months, years or your entire career, together we can have a positive impact on the future. Creating, daring, innovating, and taking action are part of our DNA. If you too want to be directly involved, grow in a stimulating and caring environment, feel useful on a daily basis and develop or strengthen your expertise, you will feel right at home with us! Still hesitating? You should know that our employees can dedicate several days per year to solidarity actions during their working hours, including sponsoring people struggling with their orientation or professional integration, participating in the financial education of young apprentices, and sharing their skills with charities. There are many ways to get involved. We are committed to support accelerating our Group’s ESG strategy by implementing ESG principles in all our activities and policies. They are translated in our business activity (ESG assessment, reporting, project management or IT activities), our work environment and in our responsible practices for environment protection. Diversity and Inclusion We are an equal opportunities employer and we are proud to make diversity a strength for our company. Societe Generale is committed to recognizing and promoting all talents , regardless of their beliefs, age, disability, parental status, ethnic origin, nationality, gender identity, sexual orientation, membership of a political, religious, trade union or minority organisation, or any other characteristic that could be subject to discrimination.

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 a Research Associate within BCG Vantage's Global Research Organization (GRO) team, you will form an integral part of our Asia-Pacific GRO team. Through the delivery of secondary research, you will contribute to BCG’s client work and knowledge base by supporting proposals, client cases and business or internal development initiatives. You will clearly synthesize, package, articulate and deliver your findings in a timely and accurate manner and conduct research on commercial, multi-industry and economic topics. Excellent organizational skills are essential for successfully managing a variety and volume of research requests by accurately summarizing data and facts into appropriate and timely output i.e. email, Excel, PowerPoint, Word. Along with supporting research products (i.e. news alerts, company profiles etc.), you will also contribute to knowledge capture and documentation. What You'll Bring Undergraduate Degree minimum (a preference for a degree in business, economics, engineering, sciences) 0-1 year relevant working experience Excellent English 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. You're Good At Engaging with customers You will thrive learning in a rich, fast paced, deadline driven yet thoughtful environment that is customer focused. Working closely with more senior team members, you will engage with Internal clients daily with the aim to understand, scope and deliver accurate, timely and relevant data and information Thinking analytically You’re an organized thinker who commits to learning research analysis including: methods, databases and tools, synthesis & packaging Working accurately in a fast paced, deadline focused environment You will have strong attention to detail by clarifying request objectives under direct supervision and discussing the most appropriate and timely research approach. You will do this whilst communicating directly with BCG stakeholders to evaluate and recommend the most efficient and successful research strategy per project Working well independently and in a collaborative team environment Working closely with fellow colleagues, you will approach all interactions with the highest level of quality and customer service. You will also guide outsourcing partners in their research analysis and do quality assurance Seeking professional development You will welcome the opportunity to grow and learn in an apprenticeship culture where you can quickly build and expand your research knowledge base to the next level Communicating with confidence and ease You will be a clear and confident communicator, able to deliver messages in a concise manner with a positive disposition and you will help build a loyal customer base for GRO 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.

Key Responsibilities JOB DESCRIPTION Design and develop high-volume, data engineering solutions for mission-critical systems with quality. Making enhancements to various applications that meets business and auditing requirements. Research and evaluate alternative solutions and make recommendations on improving the product to meet business and information risk requirements. Evaluate service level issues and suggested enhancements to diagnose and address underlying system problems and inefficiencies. Participate in full development lifecycle activities for the product (coding, testing, release activities). Support Release activities on weekends as required. Support any application issues reported during weekends. Coordinating day-To-day activities for multiple projects with onshore and offshore team members. Ensuring the availability of platform in lower environments Required Qualifications 3-4 years of overall IT experience, which includes hands on experience in Big Data technologies. Mandatory - Hands on experience in Python and PySpark. Build pySpark applications using Spark Dataframes in Python using Jupyter notebook and PyCharm(IDE). Worked on optimizing spark jobs that processes huge volumes of data. Hands on experience in version control tools like Git. Worked on Amazon’s Analytics services like Amazon EMR, Amazon Athena, AWS Glue. Worked on Amazon’s Compute services like Amazon Lambda, Amazon EC2 and Amazon’s Storage service like S3 and few other services like SNS. Experience/knowledge of bash/shell scripting will be a plus. Has built ETL processes to take data, copy it, structurally transform it etc. involving a wide variety of formats like CSV, TSV, XML and JSON. Experience in working with fixed width, delimited , multi record file formats etc. Good to have knowledge of datawarehousing concepts – dimensions, facts, schemas- snowflake, star etc. Have worked with columnar storage formats- Parquet,Avro,ORC etc. Well versed with compression techniques – Snappy, Gzip. Good to have knowledge of AWS databases (atleast one) Aurora, RDS, Redshift, ElastiCache, DynamoDB. Hands on experience in tools like Jenkins to build, test and deploy the applications Awareness of Devops concepts and be able to work in an automated release pipeline environment. Excellent debugging skills. Preferred Qualifications Experience working with US Clients and Business partners. Knowledge on Front end frameworks. Exposure to BFSI domain is a good to have. Hands on experience on any API Gateway and management platform.

VP Product Engineering – India Products leader Our company: At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers and our customers’ customers to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise. What You Will Do: As the Vice President of Engineering, you will lead Teradata’s India-based software development organization for our AI Platform Group (Analytics, AI, Apps, Agents and UX) through its next phase of transformation. You will own the execution of our product roadmap across key technologies including Vector Store, Agent platform, Apps, user experience, and the enablement of AI/ML-driven use-cases at scale. Success in this role means building a world-class engineering culture, attracting and retaining top technical talent, accelerating hybrid cloud-first product delivery, and fostering innovation that drives measurable value for our customers. You will work at the pace of a startup and build as well as lead a team of 150+ engineers focused on the key objective of helping customers achieve outcomes with Data and AI. You will partner closely with Product Management, Product Operations, Security, Customer Success, and Executive Leadership. Who You Will Work With: You will lead a high-impact regional team of up to 500 people, comprised of software development, cloud engineering, DevOps, engineering operations, and architecture teams. You will partner closely with Product Management, Product Operations, Security, Customer Success, and Executive Leadership. This position will work closely with the various other regional and global leaders. What Makes You a Qualified Candidate: 10+ years of proven senior leadership in product development, engineering, or technology leadership within enterprise software product companies. 3+ years in a VP Product or equivalent role managing large-scale, distributed technical teams in a growth market. Proven experience leading the development of agentic AI and driving AI at scale in a hybrid cloud environment. Demonstrated success in leading teams through transformation with measurable impacts. Demonstrated success implementing and scaling Agile and DevSecOps methodologies. Progressive leadership experience building and leading large technical teams managing multiple high visibility priorities. What You Will Bring: Understanding of cloud platforms, data harmonization, and data analytics for AI. Deep understanding of cloud platforms, Kubernetes, containerization, and microservices-based architectures. Experience delivering SaaS-based data and analytics platforms, ideally involving hybrid and multi-cloud deployments. Knowledge of modern data stack technologies such as Apache Spark, Kafka, Presto/Trino, Delta Lake, or Iceberg. Familiarity with AI/ML infrastructure, model lifecycle management, and integration with data platforms. Strong background in enterprise security, data governance, performance engineering, and API-first design. Experience modernizing legacy architectures into modern, service-based systems using CI/CD and automation. Passion for open-source collaboration and building extensible, developer-friendly ecosystems. Track record of building high-performing engineering cultures and inclusive leadership teams. Ability to inspire, influence, and collaborate with internal and external stakeholders at the highest levels. Master’s degree in engineering, Computer Science, or MBA preferred Why We Think You’ll Love Teradata We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are. Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. ​ We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status.

💡 Are you passionate about data architecture and solving real-world problems with modern Big Data technologies? About The Role We are seeking a highly skilled Resident Solution Architect to join our team. This professional will work closely with clients to understand their business needs, architect solutions, and implement modern Big Data platform technologies. 🔧 Key Responsibilities: Collaborate with customers to understand their business goals, data architecture, and technical requirements Design end-to-end solutions that leverage Starburst products to address customer needs, including data access, analytics, and performance optimization Develop architectural diagrams, technical specifications, and implementation plans for customer projects Lead the implementation and deployment of Starburst solutions, working closely with customer teams and internal stakeholders Provide technical guidance and best practices to customers on using Starburst products effectively Work with partners to train and upskill external personnel on Starburst Products Collaborate with internal teams and external partners to create resources, best practices, and delivery processes Troubleshoot and resolve technical issues during implementation and operation Stay current on industry trends, emerging technologies, and data management best practices 📚 Required Experience & Knowledge: Bachelor's degree in Computer Science, Engineering, or a related field Professional experience in technical roles such as solution architect, data engineer, or software engineer Strong understanding of data architecture principles, including data modeling, data integration, and data warehousing Proficiency in SQL and experience with distributed query engines (e.g., Presto, Trino, Apache Spark) Strong problem-solving skills and strategic thinking for technical and business challenges Excellent communication and interpersonal skills Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization (e.g., Docker, Kubernetes) is a plus Experience with open-source technologies and/or contributions to the open-source community is a plus Experience delivering technical training, internally or externally, is a plus Fluent English is required for daily communication with international clients and teams 📌 Other Information: This is a client-facing, hands-on role with high impact on customer success Remote work opportunity Clients are typically based in the USA, and work must be delivered within the customer’s timezone 💼 Why Join Us? Work on impactful, client-facing projects with cutting-edge data technologies Collaborate with a global, experienced team of professionals Flexible remote work setup and opportunity to grow within a fast-paced environment 🚀 Ready to join us? Apply now and bring your data expertise to the next level!

Entity: Technology Job Family Group: IT&S Group Job Description: Responsibilities Be a bridge between business and digital organizations and part of a cross-disciplinary team, working closely with other analysts, product managers, data scientists, data engineers, software engineers, data managers and business partners. Provide actionable, data-driven business and product insights by combining deep statistical skills, data manipulation capabilities and business acumen. Maintain metrics and build dashboards. Autonomously execute data analysis. You apply existing data & analytics strategies relevant to your immediate scope You partner with data engineers to define and build simple data models. You integrate existing tools to automate data ingestion, data manipulation, quality control and data analysis. Adhere to and advocate for data analytics best practices. Present results to peers and team members Collaborates with stakeholders Mentor others Working knowledge of data science to aid data analysis Knowledge of LLMs and putting them into practice for data analysis Qualifications Essential MSc in a quantitative field, preferably statistics. Hands-on experience (typically approx 5-7 years) carrying out data analytics, data mining and product analytics in complex, fast-paced environments. Applied knowledge of data analytics and data pipelining tools and approaches across all data lifecycle stages. Deep understanding of a few and a high-level understanding of several commonly available statistics approaches Advanced SQL knowledge Advanced scripting experience in R or python. Ability to write and maintain moderately complex data pipelines Strong business acumen. Customer-centric and pragmatic mindset. Focus on value delivery and swift execution, while maintaining attention to detail. Strong communication and stakeholder management skills. Ability to lead large organizations through influence. Continuous learning and improvement mindset. Desired Advanced analytics degree Experience with big data technologies (e.g. Hadoop, Hive, and Spark) is a plus. No prior experience in the energy industry required. Travel Requirement Negligible travel should be expected with this role Relocation Assistance: This role is eligible for relocation within country Remote Type: This position is a hybrid of office/remote working Skills: Commercial Acumen, Communication, Data Analysis, Data cleansing and transformation, Data domain knowledge, Data Integration, Data Management, Data Manipulation, Data Sourcing, Data strategy and governance, Data Structures and Algorithms (Inactive), Data visualization and interpretation, Digital Security, Extract, transform and load, Group Problem Solving Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

#Decorpot interior Designers is one of the leading interior design companies based out of Bangalore, Karnataka. It provides creative and innovative home décor solutions with a very competitive price, committed to high quality products and hassle-free execution process. The company houses skilled professionals, assisting customers at every stage of design and execution. Decorpot offers umpteen number of design options and customization for on trend home products to fit in any budget and style. We specialize in delivering customized design interiors for Apartments, Villas, Villaments, Independent Bungalows and any challenging Residential interior requirements of our consumers. Visit our website: https://www.decorpot.com for more insights. Designation - Assistant Design Manager ( Interior Industry ) Location - Newtown, Kasba, West Bengal, Kolkata. Looking for someone to creatively manage, lead, develop and grow the team. Ideally, the candidate will also be able to contribute to gaining new business. As a Design Manager , it will be your role to lead the team through the delivery of a variety of project types and sizes, across all design phases. The Assistant Design Manager will be responsible for the following activities. Roles & Responsibilities: Directing the Design Phase: Managing or responsible for constant review of team’s performance and escalation management Clientele Relation: Maintaining a positive relationship with the clients of the organization Expertise: Ultimately, it is your expertise and competence in your field that will give a beautiful edge to your personality Leadership: As a leader, you have to know the way, show the way and lead the way Detail orientation: A good eye towards the details and integral elements will make you stand out. Self- motivation: As a significant and vital role of a Design Manager, you need to stay self-• motivated to keep up the consistent spark and spurt of energy within your team Confidence in communication: A conscious awareness of what you speak, where you speak and most importantly how you speak. Integrity: Above all, the integrity of one's personal ethics and morals takes them to the pinnacle of success Required Experience, Skills and Qualifications Education: Architecture/Interior Experience: 5-8+ Years Ideal candidate should have Good Managerial skills Team Management skills/ People Management skills Project management skills. How to Apply - Interested candidates are encouraged to submit their updated resume along with a portfolio showcasing previous design work to anusuya@decorpot.com. For Quick Response Call to my number (Number is my Profile)

Join our Team About this opportunity: Are you a talented IT professional passionate about data and eager to drive the future of Analytics? Ericsson is looking for an IT Data Engineer to design, build, test, and maintain our data and analytics solutions. As part of this role, you will work on various technologies and platforms to ensure data is readily available and accessible to all relevant departments. You will oversee the actualization of these solutions by confirming our data is extracted, managed, and made available according to Ericsson's high standards and architectural designs. What you will do: Design, build, and maintain scalable and efficient data architectures to support current and future business needs. Ensure data modelling practices align with best practices for maintainability, scalability, and performance. Solve business problems by applying advanced data engineering and complex data transformation techniques on large volumes of data. Stay abreast of the latest technologies and tools in data engineering (e.g., cloud platforms, databases, ETL tools) and lead the evaluation and integration of new solutions. Identify opportunities to implement emerging technologies (e.g., machine learning, AI-driven data management) to enhance data capabilities. Develop, optimize, and manage batch and real-time data ingestion pipelines. Work closely with software engineers and data scientists to ensure seamless integration of data pipelines into the larger system architecture. Automate data validation and monitoring processes to ensure data quality and integrity. Foster a collaborative environment focused on continuous learning, growth, and innovation. Manage the day-to-day operations of the team, setting priorities and ensuring timely delivery of data-related projects. The skills you bring: Strong knowledge of database and data warehousing technologies (e.g., SQL, NoSQL, etc) Strong experience in data engineering or a related field, with a strong focus on designing, developing, and managing large-scale data pipelines and architectures. Proficiency in building ETL/ELT pipelines using python / spark (pyspark). Advanced skills in programming languages such as Python, SQL. Expertise in designing and optimizing data models and complex SQL queries for high-volume systems. Strong problem-solving abilities, with a focus on diagnosing and resolving complex data engineering challenges. Relevant certifications in data engineering, cloud platforms (e.g., AWS, GCP, Azure), or big data technologies (e.g., Hadoop, Spark) are a plus. Experience in HANA, Snowflake and other database system. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. Primary country and city: India (IN) || Kolkata Req ID: 766494

Who You'll Work With Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward. In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else. When you join us, you will have: Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey. A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes. Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences. World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family. Your Impact You will be a core member of Periscope’s technology team with responsibilities that range from developing and implementing our core enterprise products to ensuring that McKinsey’s craft stays on the leading edge of technology. In this role, you will be involved in leading software development projects in a hands-on manner. You will spend about 70% of your time writing and reviewing code and creating software designs. Your expertise will expand into database design, core middle tier modules, performance tuning, cloud technologies, DevOps, and continuous delivery domains over time. You will be an active learner, tinkering with new open-source libraries, using unfamiliar technologies without supervision, and learning frameworks and approaches. You will have a strong understanding of key agile engineering practices to guide teams on improvement opportunities in their engineering practices. You will provide ongoing coaching and mentoring to the developers to improve our organizational capability. You will be based in our Bengaluru or Gurugram office as part of our Growth, Marketing & Sales team. You’ll be aligned primarily with Periscope’s technology team. Periscope® By McKinsey enables better commercial decisions by uncovering actionable insights. The Periscope platform combines world leading intellectual property, prescriptive analytics, and cloud-based tools to provide more than 25 solutions focused on insights and marketing, with expert support and training. It is a unique combination that drives revenue growth both now and in the future. Customer experience, performance, pricing, category, and sales optimization are powered by the Periscope platform. Periscope has a presence in 26 locations across 16 countries with a team of 1000+ business and IT professionals and a network of 300+ experts. To learn more about how Periscope’s solutions and experts are helping businesses continually drive better performance, visit http://www.periscope-solutions.com. Your Qualifications and Skills Bachelor's degree in computer science or a related field 6+ years' experience in software development, particularly in designing and implementing complex enterprise systems that handle large-scale data processing Experience in frontend and backend development with a good understanding of React.js, Node.js and its core principles Demonstrable experience with relational databases such as SQL Server, PostgreSQL and NoSQL databases such as Mongo, Cosmos and Elastic search Proficient in cloud infrastructure, with a strong preference for experience in Azure and/or AWS environments Skilled in the use of container technologies including Docker and Kubernetes, with experience in containerizing Node.js or Spark applications and managing them in production environments Proficient in modern engineering practices including code refactoring, application of design patterns, design-driven development, continuous integration, scalability of applications, and application security Familiar with the Agile software development methodology and proficient with performance optimization tools Excellent analytical and problem-solving skills, with a proven track record of developing innovative and efficient solutions Capable of working effectively under pressure and managing client expectations Strong focus on customer service and quality, with the ability to work independently as well as collaboratively in diverse team settings; prior experience leading a small team is advantageous Experience in SAAS platforms is a plus

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Good experience in building data pipelines using ADF Good experience with programming languages such as Python, PySpark Solid proficiency in SQL and complex queries Demonstrated ability to learn and adapt to new data technologies Proven good skills in Azure Data Processing like Azure data Factory and Azure data Bricks Proven good problem-solving skills Proven good communication skills Proven technical skills - Python, Azure Data Processing Tools Other Requirements Collaborate with team, architects, and product stakeholders to understand the scope and design of a deliverable Participate in product support activities as needed by the team Understand product architecture, features being built and come up with product improvement ideas and POCs Individual contributor for Data Engineering - Data pipelines, Data modelling and Data warehouse Preferred Qualifications Knowledge or experience with Containerization - Docker, Kubernetes. Knowledge or experience with Bigdata or Hadoop ecosystem - Spark, Hive, HBase, Sqoop etc. Experience with APIs and integrating external data sources. Experience in Build or Deployment Automation - Jenkins Knowledge or experience using Microsoft Visio, Power Point. Knowledge on Agile or Scrum At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.

Job Title : Assoc Data Engineering Mgr About UHG United Health Group is a leading health care company serving more than 85 million people worldwide. The organization is ranked 5th among Fortune 500 companies. UHG serves its customers through two different platforms - United Health Care (UHC) and Optum. UHC is responsible for providing healthcare coverage and benefits services, while Optum provides information and technology enabled health services. India operations of UHG are aligned to Optum. The Optum Global Analytics Team, part of Optum, is involved in developing broad-based and targeted analytics solutions across different verticals for all lines of business. Qualifications & Requirements Bachelors / 4 year university degree Experience - Between 7-10 Years of Experience with below mentioned Skills Must Have Skills Good understanding of Spark Architecture Good understanding of Data Architecture and solutions in Azure Good Skills in Azure Data Processing skills like Azure data Factory and Azure data Bricks Good experience in building data pipelines using ADF Strong proficiency in SQL and complex queries Good experience with programming languages such as Python, PySpark. Ability to learn and adapt to new data technologies Knowledge & experience with Containerization - Docker, Kubernetes Knowledge/Experience with Bigdata & Hadoop ecosystem - Spark, Hive, HBase, Sqoop etc. Build / Deployment Automation - Jenkins. Good problem-solving skills Good communication skills Act in a strategic capacity as a senior technical expert for all current Azure Cloud based solutions while keeping abreast of industry Cloud solutions Lead project independently & with minimal guidance, including high level client communication and project planning. Good to Have Technical lead for Data Engineering - Data pipelines, Data modelling and Data warehouse. Experience of developing cloud-based API gateways Experience & exposure to API integration frameworks Certified in Azure Data Engineering (AZ-205) Excellent time management, communication, decision making, and presentation skills Position Responsibilities Work under supervision of Data Architects to gather requirements to create Datamodel for Data Science & Business Intelligence projects Work closely with Data Architects to create project plans & list down exhaustive list of activities to be carried out to implement solution Engage in client communications for all important functions including data understanding/exploration, strategizing solutions etc. Document the Metadata information about the data sources used in the project & present that information to team members during team meetings Design & Develop Data Marts, De-normalized views & Data Models for projects Design & Develop Data Quality control processes around the data sets used for analysis Mentoring & Grooming Junior Engineers Lead and Drive Knowledge sharing session within the team Own the technical deliveries of the team Work with Senior team members to develop new capabilities for the team Being Accountable Possess Achievable Drive Passionate about software development Looks forward to build and apply technical and functional skills Focuses on understanding Goals, Priorities and Plans Possess problem solving approach

Requirements Description and Requirements Position Summary A Big Data (Hadoop) Administrator responsible for supporting the installation, configuration, and maintenance of Cloudera Data Platform (CDP) and Cloudera Flow Management (CFM) streaming clusters on RedHat Linux. Strong expertise in DevOps practices, automation, and scripting (e.g . Ansible , Azure DevOps, Shell, Python ) to streamline operations and improve efficiency is highly valued. Job Responsibilities Assist in the installation, configuration, and maintenance of Cloudera Data Platform (CDP) and Cloudera Flow Management (CFM) streaming clusters on RedHat Linux. Perform routine monitoring, troubleshooting, and issue resolution to ensure the stability and performance of Hadoop clusters. Develop and maintain scripts (e.g., Python, Bash, Ansible) to automate operational tasks and improve system efficiency. Collaborate with cross-functional teams, including application development, infrastructure, and operations, to support business requirements and implement new features. Implement and follow best practices for cluster security, including user access management and integration with tools like Apache Ranger and Kerberos. Support backup, recovery, and disaster recovery processes to ensure data availability and business continuity. Conduct performance tuning and optimization of Hadoop clusters to enhance system efficiency and reduce latency. Analyze logs and use tools like Splunk to debug and resolve production issues. Document operational processes, maintenance procedures, and troubleshooting steps to ensure knowledge sharing and consistency. Stay updated on emerging technologies and contribute to the adoption of new tools and practices to improve cluster management. Education, Technical Skills & Other Critical Requirement Education Bachelor’s degree in computer science, Information Systems, or another related field with 7+ years of IT and Infrastructure engineering work experience. Experience (In Years) 7+ Years Total IT experience & 4+ Years relevant experience in Big Data database Technical Skills Big Data Platform Management : Big Data Platform Management: Knowledge in managing and optimizing the Cloudera Data Platform, including components such as Apache Hadoop (YARN and HDFS), Apache HBase, Apache Solr , Apache Hive, Apache Kafka, Apache NiFi , Apache Ranger, Apache Spark, as well as JanusGraph and IBM BigSQL . Automation and Scripting : Expertise in automation tools and scripting languages such as Ansible, Python, and Bash to streamline operational tasks and improve efficiency. DevOps Practices : Proficiency in DevOps tools and methodologies, including CI/CD pipelines, version control systems (e.g., Git), and infrastructure-as-code practices. Monitoring and Troubleshooting : Experience with monitoring and observability tools such as Splunk, Elastic Stack, or Prometheus to identify and resolve system issues. Linux Administration : Solid knowledge of Linux operating systems, including system administration, troubleshooting, and performance tuning. Backup and Recovery : Familiarity with implementing and managing backup and recovery processes to ensure data availability and business continuity. Security and Access Management : Understanding of security best practices, including user access management and integration with tools like Kerberos. Agile Methodologies : Knowledge of Agile practices and frameworks, such as SAFe , with experience working in Agile environments. ITSM Tools : Familiarity with ITSM processes and tools like ServiceNow for incident and change management. Other Critical Requirements Excellent Analytical and Problem-Solving skills Ability to work in a 24x7 rotational shift to support Hadoop platforms and ensure high availability. Excellent written and oral communication skills, including the ability to clearly communicate/articulate technical and functional issues with conclusions and recommendations to stakeholders. Prior experience in handling state side and offshore stakeholders Experience in creating and delivering Business presentations. Demonstrate ability to work independently and in a team environment Demonstrate willingness to learn and adopt new technologies and tools to improve operational efficiency About MetLife Recognized on Fortune magazine's list of the 2025 "World's Most Admired Companies" and Fortune World’s 25 Best Workplaces™ for 2024, MetLife , through its subsidiaries and affiliates, is one of the world’s leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East. Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by empathy, we’re inspired to transform the next century in financial services. At MetLife, it’s #AllTogetherPossible . Join us!

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities Leadership and Strategy Define and execute the data science roadmap aligned with business goals Lead a team of data scientists and full stack developers, fostering a high-performance, collaborative culture Partner with product, engineering, and business stakeholders to identify opportunities for data-driven innovation Technical Execution Architect and oversee the development of full stack solutions integrating machine learning models into production systems Guide the design and implementation of data pipelines, APIs, and dashboards using modern frameworks (e.g., Python, React, Node.JS) Ensure best practices in model development, versioning, testing, and deployment (MLOps) Project and People Management Manage project timelines, resource allocation, and delivery milestones Mentor team members on both data science methodologies and software engineering principles Drive continuous improvement in team processes, tools, and technical capabilities Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Master’s or PhD in Computer Science, Data Science, Engineering, or a related field 8+ years of experience in data science and software development, with 3+ years in a leadership role Proven experience with full stack development (React, Node.js, Python, REST APIs) Experience deploying models into production environments and managing lifecycle (CI or CD, Docker, Kubernetes) Solid background in machine learning, statistical modeling, and data engineering Preferred Qualifications Experience with big data technologies (Spark, Hadoop) Familiarity with cloud platforms (AWS, Azure, GCP) Exposure to healthcare, logistics, or consumer analytics domains At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.

Key Responsibilities : - Design and develop scalable PySpark pipelines to ingest, parse, and process XML datasets with extreme hierarchical complexity. - Implement efficient XPath expressions, recursive parsing techniques, and custom schema definitions to extract data from nested XML structures. - Optimize Spark jobs through partitioning, caching, and parallel processing to handle terabytes of XML data efficiently. - Transform raw hierarchical XML data into structured DataFrames for analytics, machine learning, and reporting use cases. - Collaborate with data architects and analysts to define data models for nested XML schemas. - Troubleshoot performance bottlenecks and ensure reliability in distributed environments (e.g., AWS, Databricks, Hadoop). - Document parsing logic, data lineage, and optimization strategies for maintainability. Qualifications : - 5+ years of hands-on experience with PySpark and Spark XML libraries (e.g., `spark-xml`) in production environments. - Proven track record of parsing XML data with 20+ levels of nesting using recursive methods and schema inference. - Expertise in XPath, XQuery, and DataFrame transformations (e.g., `explode`, `struct`, `selectExpr`) for hierarchical data. - Strong understanding of Spark optimization techniques: partitioning strategies, broadcast variables, and memory management. - Experience with distributed computing frameworks (e.g., Hadoop, YARN) and cloud platforms (AWS, Azure, GCP). - Familiarity with big data file formats (Parquet, Avro) and orchestration tools (Airflow, Luigi). - Bachelor's degree in Computer Science, Data Engineering, or a related field. Preferred Skills : - Experience with schema evolution and versioning for nested XML/JSON datasets. - Knowledge of Scala or Java for extending Spark XML libraries. - Exposure to Databricks, Delta Lake, or similar platforms. - Certifications in AWS/Azure big data technologies.

Job Title: Data Engineer About VXI VXI Global Solutions is a BPO leader in customer service, customer experience, and digital solutions. Founded in 1998, the company has 40,000 employees in more than 40 locations in North America, Asia, Europe, and the Caribbean. We deliver omnichannel and multilingual support, software development, quality assurance, CX advisory, and automation & process excellence to the world’s most respected brands. VXI is one of the fastest growing, privately held business services organizations in the United States and the Philippines, and one of the few US-based customer care organizations in China. VXI is also backed by private equity investor Bain Capital. Our initial partnership ran from 2012 to 2016 and was the beginning of prosperous times for the company. During this period, not only did VXI expand our footprint in the US and Philippines, but we also gained ground in the Chinese and Central American markets. We also acquired Symbio, expanding our global technology services offering and enhancing our competitive position. In 2022, Bain Capital re-invested in the organization after completing a buy-out from Carlyle. This is a rare occurrence in the private equity space and shows the level of performance VXI delivers for our clients, employees, and shareholders. With this recent investment, VXI has started on a transformation to radically improve the CX experience though an industry leading generative AI product portfolio that spans hiring, training, customer contact, and feedback. Job Description: We are seeking talented and motivated Data Engineers to join our dynamic team and contribute to our mission of harnessing the power of data to drive growth and success. As a Data Engineer at VXI Global Solutions, you will play a critical role in designing, implementing, and maintaining our data infrastructure to support our customer experience and management initiatives. You will collaborate with cross-functional teams to understand business requirements, architect scalable data solutions, and ensure data quality and integrity. This is an exciting opportunity to work with cutting-edge technologies and shape the future of data-driven decision-making at VXI Global Solutions. Responsibilities: Design, develop, and maintain scalable data pipelines and ETL processes to ingest, transform, and store data from various sources. Collaborate with business stakeholders to understand data requirements and translate them into technical solutions. Implement data models and schemas to support analytics, reporting, and machine learning initiatives. Optimize data processing and storage solutions for performance, scalability, and cost-effectiveness. Ensure data quality and integrity by implementing data validation, monitoring, and error handling mechanisms. Collaborate with data analysts and data scientists to provide them with clean, reliable, and accessible data for analysis and modeling. Stay current with emerging technologies and best practices in data engineering and recommend innovative solutions to enhance our data capabilities. Requirements: Bachelor's degree in Computer Science, Engineering, or a related field. Proven 8+ years' experience as a data engineer or similar role Proficiency in SQL, Python, and/or other programming languages for data processing and manipulation. Experience with relational and NoSQL databases (e.g., SQL Server, MySQL, Postgres, Cassandra, DynamoDB, MongoDB, Oracle), data warehousing (e.g., Vertica, Teradata, Oracle Exadata, SAP Hana), and data modeling concepts. Strong understanding of distributed computing frameworks (e.g., Apache Spark, Apache Flink, Apache Storm) and cloud-based data platforms (e.g., AWS Redshift, Azure, Google BigQuery, Snowflake) Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker, Apache Superset) and data pipeline tools (e.g. Airflow, Kafka, Data Flow, Cloud Data Fusion, Airbyte, Informatica, Talend) is a plus. Understanding of data and query optimization, query profiling, and query performance monitoring tools and techniques. Solid understanding of ETL/ELT processes, data validation, and data security best practices Experience in version control systems (Git) and CI/CD pipelines. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills to work effectively with cross-functional teams. Join VXI Global Solutions and be part of a dynamic team dedicated to driving innovation and delivering exceptional customer experiences. Apply now to embark on a rewarding career in data engineering with us!