532 Data Manipulation Jobs - Page 16

Job Summary We are seeking a highly skilled Data Scientist with Business analysis with good hands on in Python , SQL , EDA Data Visualization with 3 to 12+ years of experience Key Responsibilities: Perform exploratory data analysis (EDA) to uncover trends, patterns, and insights. Develop and maintain dashboards and reports to visualize key business metrics. Collaborate with cross-functional teams to gather requirements and deliver data-driven solutions. Build and evaluate statistical and machine learning models to support predictive analytics. Translate business problems into analytical frameworks and communicate findings effectively. Must-Have Skills: Proficiency in Python for data manipulation and analysis. Strong knowledge of SQL for querying and managing data. Experience in data analysis and business analytics. Familiarity with machine learning and statistical modelling. Ability to interpret and communicate complex data insights to non-technical stakeholders. Good-to-Have Skills: Experience with data visualization tools. Exposure to Generative AI frameworks and applications. Understanding of cloud platforms (AWS, GCP, or Azure) is a plus.

About the Role: Grade Level (for internal use): 09 : * Develop and execute test plans, test cases, and test scripts to ensure thorough coverage of software functionalities, including functional, regression, integration, and performance testing. * Collaborate with cross-functional teams, including developers, product managers, and business analysts, to understand requirements, identify test scenarios, and ensure alignment with business objectives. * Utilize strong technical expertise in automation tools and technologies to design, develop, and maintain automated test suites for continuous integration and deployment pipelines. * Proficient in performing manual testing of command line application, web-based and API-based applications with focus on complex scenarios and edge cases, to ensure comprehensive test coverage. * Analyse and troubleshoot issues, defects, and discrepancies, documenting and tracking them to resolution using issue tracking systems. * Provide technical support and guidance to stakeholders regarding QA processes, tools, and methodologies. * Stay updated on industry trends like AI and emerging technologies and incorporating relevant knowledge into QA practices. * Develop and maintain SQL queries for data validation and verification. Qualifications: * Bachelors degree in computer science, Engineering, or related field. * Strong knowledge of SDLC and STLC. * Strong technical proficiency in automation tools and technologies such as Java, Selenium, JUnit, TestNG, Cucumber etc. * In-depth knowledge of SQL for data manipulation, querying, and validation. * Experience with API-based testing tools such as Postman and Bruno. * Experience with Linux operating systems command-line tools. * Experience with python programming language. * Experience on AWS services and AWS console. * Excellent analytical and problem-solving skills, with a keen attention to detail. * Strong communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams. * Experience in supporting test strategy activities, particularly in the integration of multiple applications and systems. * Demonstrated skill to proactively resolve issues and escalate appropriately. * Experience testing web-based and API-based systems for user experience issues. * Experience with Agile methodologies and CI/CD pipelines. * Experience with Financial Domain is preferred. * Experience with Index/Benchmarks or Asset Management or Portfolio Investment modelling. About S&P Global Dow Jones Indic e s At S&P Dow Jones Indices, we provide iconic and innovative index solutions backed by unparalleled expertise across the asset-class spectrum. By bringing transparency to the global capital markets, we empower investors everywhere to make decisions with conviction. Were the largest global resource for index-based concepts, data and research, and home to iconic financial market indicators, such as the S&P 500 and the Dow Jones Industrial Average . More assets are invested in products based upon our indices than any other index provider in the world. With over USD 7.4 trillion in passively managed assets linked to our indices and over USD 11.3 trillion benchmarked to our indices, our solutions are widely considered indispensable in tracking market performance, evaluating portfolios and developing investment strategies. S&P Dow Jones Indices is a division of S&P Global (NYSESPGI). S&P Global is the worlds foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the worlds leading organizations navigate the economic landscape so they can plan for tomorrow, today. For more information, visit www.spglobal.com/spdji . Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries

Req ID: 324676 We are currently seeking a Data Analyst to join our team in Pune, Mahrshtra (IN-MH), India (IN). Key Responsibilities: Extract, transform, and load (ETL) data from various sources, ensuring data quality, integrity, and accuracy. Perform data cleansing, validation, and preprocessing to prepare structured and unstructured data for analysis. Develop and execute queries, scripts, and data manipulation tasks using SQL, Python, or other relevant tools. Analyze large datasets to identify trends, patterns, and correlations, drawing meaningful conclusions that inform business decisions. Create clear and concise data visualizations, dashboards, and reports to communicate findings effectively to stakeholders. Collaborate with clients and cross-functional teams to gather and understand data requirements, translating them into actionable insights. Work closely with other departments to support their data needs. Collaborate with Data Scientists and other analysts to support predictive modeling, machine learning, and statistical analysis. Continuously monitor data quality and proactively identify anomalies or discrepancies, recommending corrective actions. Stay up-to-date with industry trends, emerging technologies, and best practices to enhance analytical techniques. Assist in the identification and implementation of process improvements to streamline data workflows and analysis. Basic Qualifications: 3 + years of proficiency in data analysis tools such as [Tools - e.g., Excel, SQL, R, Python]. 3+ years of experience supporting Software Engineering, Data Engineering, or Data Analytics projects. 2+ years of experience leading a team supporting data related projects to develop end-to-end technical solutions. Undergraduate or Graduate degree preferred Ability to travel at least 25%." Preferred Skills: Strong proficiency in data analysis tools such as Python, SQL, Talend (any ETL). Experience with data visualization tools like PowerBI. Experience with cloud data platforms . Familiarity with ETL (Extract, Transform, Load) processes and tools. Knowledge of machine learning techniques and tools. Experience in a specific industry (e.g., financial services, healthcare, manufacturing) can be a plus. Understanding of data governance and data privacy regulations. Ability to query and manipulate databases and data warehouses. Excellent analytical and problem-solving skills. Strong communication skills with the ability to explain complex data insights to non-technical stakeholders. Detail-oriented with a commitment to accuracy.

5+ years of experience in report development and migration Strong hands-on experience with Oracle Reports (6i/10g/11g) Proficient in JasperReports , Jaspersoft Studio , and JRXML templates Strong knowledge of SQL and PL/SQL Working knowledge of Java and JasperReports API Experience configuring JDBC data sources and working with complex datasets Familiarity with JasperReports Server : deployment, user management, and scheduling Experience with Git or version control tools Good communication skills and ability to work with business stakeholders Preferred Qualifications: Experience with iReport Designer (legacy support) Exposure to CI/CD for report deployment Knowledge of ETL tools or data transformation processes Oracle and/or JasperReports certification is a plus Roles and Responsibilities **Job Title: Jaspersoft Developer - 002** **Job Location:** Chennai, Tamil Nadu, India / Pune, Maharashtra, India **Experience:** 5 to 8 years --- ### Roles and Responsibilities: 1. **Jaspersoft Development:** - Design, develop, and maintain several Jaspersoft reporting solutions using JRXML templates and JasperAPI to meet specific business requirements. - Collaborate with business stakeholders to gather requirements and translate them into clear and actionable reporting specs. 2. **Database Management:** - Utilize PL/SQL for data extraction, transformation, and loading (ETL) processes to support reporting needs. - Design efficient SQL queries and optimize database performance for generating timely reports. 3. **Integration:** - Integrate Jaspersoft reports with existing applications and databases, leveraging JDBC for seamless data connectivity and reporting. 4. **Testing and Validation:** - Conduct thorough testing and validation of reports to ensure data accuracy and adherence to requirements before deployment. - Support end-users in validating reports for operational effectiveness and troubleshoot any issues that arise. 5. **Documentation:** - Create and maintain comprehensive documentation for developed reports, including frameworks, data sources, and design methodologies. - Ensure all specifications and design documents comply with organizational standards. 6. **Performance Optimization:** - Monitor report performance and identify areas for optimization to enhance efficiency and user experience. - Implement best practices in report development to localize and streamline reporting processes. 7. **Collaboration:** - Work closely with cross-functional teams including analysts, project managers, and other developers to ensure alignment and timely delivery of projects. - Participate in code reviews and contribute to shared knowledge within the development team. 8. **Continuous Improvement:** - Stay updated with the latest Jaspersoft features and enhancements to implement improvements in solutions. - Provide training and support to junior developers and team members as needed. --- ### Desired Skills: - Proficiency in Java, JDBC, JRXML Templates, and JasperAPI for effective report design and development. - Strong command of PL/SQL for data manipulation and reporting purposes. ### Qualifications: - Bachelor’s degree in Computer Science, Information Technology, or a related field. - Between 5 to 8 years of relevant experience in Jaspersoft development and database management. **A proactive approach and strong problem-solving skills will be essential for success in this role.**

Marketing Measurement & Optimization Analyst Job Description: Qualifications: Bachelors degree in Statistics, Mathematics, Computer Science, Engineering, or a related field. Proven 0-2 years of experience in a similar role. Strong problem-solving skills. Excellent communication skills. Skills: Proficiency in R (tidyverse, plotly/ggplot2), or Python (pandas, numpy), for data manipulation and visualization, and SQL (joins, aggregation, analytics functions) for data handling. Ability to understand marketing data and perform statistical tests. Knowledge of data visualization tools such as Tableau or Power BI. Responsibilities: Familiar with Media Mix Modelling, Multi-Touch Attribution. Knowledge of panel data and its analysis. Understand of Data Science workflow. Familiarity with marketing channels, performance & effectiveness metrics, and conversion funnel. Work with large data and performing data QA & manipulation tasks such as joins/merge, aggregation & segregation, append. Location: Pune Brand: Merkle Time Type: Full time Contract Type: Permanent

Marketing Measurement & Optimization Analyst Job Description: Qualifications: Bachelors degree in Statistics, Mathematics, Computer Science, Engineering, or a related field. Proven 0-2 years of experience in a similar role. Strong problem-solving skills. Excellent communication skills. Skills: Proficiency in R (tidyverse, plotly/ggplot2), or Python (pandas, numpy), for data manipulation and visualization, and SQL (joins, aggregation, analytics functions) for data handling. Ability to understand marketing data and perform statistical tests. Knowledge of data visualization tools such as Tableau or Power BI. Responsibilities: Familiar with Media Mix Modelling, Multi-Touch Attribution. Knowledge of panel data and its analysis. Understand of Data Science workflow. Familiarity with marketing channels, performance & effectiveness metrics, and conversion funnel. Work with large data and performing data QA & manipulation tasks such as joins/merge, aggregation & segregation, append.

Senior Analyst Gurugram (Hybrid) 2 To 4 years + Job Description Apply Core responsibilities include: Owning and executing distinct work streams within larger analytics engagement Delivering insights based on complex data analysis, within relevant verticals (insurance, health care, banking, etc.) Hands on experience in data manipulation/processing skills using Python. Experience in exploratory data analysis and feature engineering Must have strong capabilities in problem solving, managing own work diligently, thoroughly documenting own work, succinctly communicating analysis process and outcomes, as well as effectively working with clients Basic understanding of at least one business area and its components (Healthcare, Insurance, Banking, Telecommunications, Logistics) Familiarity with / Exposure on cloud engineering (preferred) Ability to translate technical information to non-technical stakeholders and vice versa Strong verbal and written communications skills Actively seeks information to clarify customer needs to deliver better experience Acts promptly to ensure customer needs are fulfilled

Marketing Measurement & Optimization Analyst Job Description: Qualifications: Bachelors degree in Statistics, Mathematics, Computer Science, Engineering, or a related field. Proven 0-2 years of experience in a similar role. Strong problem-solving skills. Excellent communication skills. Skills: Proficiency in R (tidyverse, plotly/ggplot2), or Python (pandas, numpy), for data manipulation and visualization, and SQL (joins, aggregation, analytics functions) for data handling. Ability to understand marketing data and perform statistical tests. Knowledge of data visualization tools such as Tableau or Power BI. Responsibilities: Familiar with Media Mix Modelling, Multi-Touch Attribution. Knowledge of panel data and its analysis. Understand of Data Science workflow. Familiarity with marketing channels, performance & effectiveness metrics, and conversion funnel. Work with large data and performing data QA & manipulation tasks such as joins/merge, aggregation & segregation, append. Location: Pune Brand: Merkle Time Type: Full time Contract Type: Permanent

• Collect and interpret data from various sources to support business needs. • Analyze large datasets to identify patterns, trends, and insights. • Create reports, dashboards, and visualizations using tools like Excel, Power BI, or Tableau Required Candidate profile • Work closely with management to prioritize business and information needs. • Identify, analyze, and interpret trends or patterns in complex data sets. 3 Months internship

Roles & Responsibilities: Provides expert level development system analysis design and implementation of applications using AWS services specifically using Python for Lambda Translates technical specifications and/or design models into code for new or enhancement projects (for internal or external clients). Develops code that reuses objects is well-structured includes sufficient comments and is easy to maintain Provides follow up Production support when needed. Submits change control requests and documents. Participates in design code and test inspections throughout the life cycle to identify issues and ensure methodology compliance. Participates in systems analysis activities including system requirements analysis and definition e.g. prototyping. Participates in other meetings such as those for use case creation and analysis. Performs unit testing and writes appropriate unit test plans to ensure requirements are satisfied. Assists in integration systems acceptance and other related testing as needed. Ensures developed code is optimized in order to meet client performance specifications associated with page rendering time by completing page performance tests. Technical Skills Required Experience in building large scale batch and data pipelines with data processing frameworks in AWS cloud platform using PySpark (on EMR) & Glue ETL Deep experience in developing data processing data manipulation tasks using PySpark such as reading data from external sources merge data perform data enrichment and load in to target data destinations. Experience in deployment and operationalizing the code using CI/CD tools Bit bucket and Bamboo Strong AWS cloud computing experience. Extensive experience in Lambda S3 EMR Redshift Should have worked on Data Warehouse/Database technologies for at least 8 years. 7. Any AWS certification will be an added advantage.

Responsibilities As a CDP Specialist, you will be responsible for managing and optimizing customer data platform solutions. The candidate should be proficient in data management, segmentation, analytics, and campaign execution. This role requires a blend of technical expertise, strategic thinking, and hands-on execution to drive business growth through effective utilization of customer data. 1. Manage and maintain the Customer Data Platform (CDP) infrastructure, including data ingestion, integration, and storage. 2. Collaborate with cross-functional teams to understand data requirements and implement data governance best practices. 3. Develop and execute segmentation strategies to target specific customer segments based on behavior, demographics, and other relevant attributes. 4. Utilize data analytics tools to derive actionable insights from customer data and make recommendations for marketing campaigns and product improvements. 5. Design and implement personalized marketing campaigns across multiple channels (email, SMS, push notifications, etc.) using the CDP platform. 6. Monitor and optimize campaign performance based on key metrics such as engagement, conversion rates, and ROI. 7. Conduct A/B testing and multivariate analysis to improve campaign effectiveness and drive continuous improvement. 8. Stay updated on industry trends and best practices related to customer data management, marketing automation, and CDP technologies. 9. Train and support internal teams on using the CDP platform effectively for their respective functions. 10. Collaborate with IT and third-party vendors to troubleshoot technical issues and ensure the smooth functioning of the CDP platform. Skills Required: 1. Bachelors degree in marketing, Business Administration, Information Technology, or related field. Advanced degree or relevant certifications are a plus. 2. Proven experience (5 years) working with Marketing Cloud and Customer Data Platforms such as Salesforce Marketing cloud, Data Cloud, Web Engage, Segment, Adobe Audience Manager, etc. 3. Strong proficiency in SQL, JSON, data manipulation, and data visualization tools (e.g., Tableau, Power BI). 4. Experience with marketing automation tools (e.g., Salesforce Marketing Cloud, Marketo, HubSpot) and CRM platforms (e.g., Salesforce, Microsoft Dynamics) is preferred. 5. Excellent analytical skills with the ability to translate data into actionable insights and recommendations. 6. Solid understanding of data privacy regulations (e.g., GDPR, CCPA) and best practices for data security. 7. Strong communication and collaboration skills with the ability to work effectively across multiple teams and stakeholders. 8. Detail-oriented with a focus on accuracy and quality of data. 9. Ability to thrive in a fast-paced environment and manage multiple priorities simultaneously. 10. Flexibility to adapt to evolving business needs and technologies.

Perform data extraction from NIQ, Circana, Spins, and other retail and CPG sources to gather raw data for further analysis. Clean, organize, and validate data to ensure accuracy and completeness. Utilize Microsoft Excel, VBA, and SQL for data manipulation, analysis, and reporting. Collaborate with cross-functional teams to understand data requirements and deliver actionable insights. Generate and publish excel reports for further uses Apply knowledge of retail and CPG industries to enhance data analysis and reporting. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Bachelor's degree in Computer Application, Science, or relevant education. 1-3 years of experience in data acquisition & analysis or a related field. Proficiency in Microsoft Excel, Microsoft Office, VBA, SQL, and experience with NIQ, Circana, and Spins. Preferred technical and professional experience Strong analytical skills and attention to detail. Excellent communication and teamwork abilities. Ability to manage multiple tasks and meet deadlines. Experience in retail and CPG industries is preferred.

Roles & Responsibilities Displays structured problem-solving skills and applies the appropriate tools and techniques to solve open-ended problems, creating productized analytics solutions or frameworks independently. Understands business and product problems and devises deep, data-backed solutions. Conducts root cause analysis and deep dive analysis of specific product issues. Runs and maintains the reporting system, presenting actionable insights in weekly forums. Builds templates and dashboards in Excel or on internal platforms for operational and management reporting. Extracts data as requested by the business team for ad hoc analysis. Demonstrates strong business analysis and understanding to contextualize insights. Evaluates metrics to track as per business goals and explores other metrics for a deeper understanding of product performance. Mentors data analysts on day-to-day analysis tasks and upskilling opportunities. Works efficiently in a fast-moving environment, managing multiple projects with varying complexity and detail. Proficient in Python to automate reporting tasks, streamline processes, and improve operational efficiency. Desired Skills and Experience: 1-2 years working with large data sets and conducting quantitative analysis. Some understanding of Statistics and prior experience of building statistical models (e.g. hypothesis testing, product experimentation, A/B Testing, regressions). Excellent knowledge SQL and intermediate knowledge of data manipulation language such as R / Python Previous experience with working on ecommerce funnels, retention Ability to think through product and business metrics to assess product features Knowledge of business modelling and basic knowledge of financial metrics, would be a bonus Quick learner and ability to work in dynamic work environment Team player and comfortable interacting with people from multiple disciplines Established expertise in designing new dashboards, identifying the right metrics, layout; displays proficiency in building dashboards on Power BI using best practices and intuitive Qualifications Bachelors in engineering, Computer Science, Economics, Statistics, or related discipline from a reputed institute

48 years of relevant experience in marketing claims review, administration, or product data management. Strong analytical skills with attention to detail. Proficiency in managing data within product information systems (PIM, ERP, or other relevant tools). Familiarity with marketing compliance standards and regulatory requirements. Excellent communication and collaboration skills. Ability to multitask and thrive in a fast-paced environment. Marketing Claims Analyst/Admin: Review and validate marketing claims for accuracy, compliance, and regulatory alignment. Collaborate with legal, compliance, and marketing teams to ensure claims meet industry standards. Maintain documentation and audit records related to marketing claims. Support administrative tasks, including data entry, reporting, and tracking claim approvals. Assist in updating marketing content across various platforms based on validated claims.

About the Role : A global leader in technology innovation is seeking a highly skilled C++ Developer with a passion for competitive programming and logical reasoning to join our team. This critical role will focus on creating high-quality reasoning datasets to train and improve Large Language Models (LLMs). You will design structured programming challenges and reasoning tasks to enhance the problem-solving capabilities of advanced AI systems. This is an exceptional opportunity for individuals with strong problem-solving expertise to contribute to cutting-edge AI development and directly impact the future of LLMs. Job Responsibilities : - Dataset Creation : Design and create structured reasoning tasks rooted in programming challenges, specifically in C++, to effectively train LLMs. This includes defining problem statements, specifying input/output formats, and generating diverse test cases. - Problem Decomposition : Develop datasets that test and improve an LLM's ability to solve complex, multi-step problems, requiring clear and logical explanations of the solution process. This will involve breaking down problems into smaller, manageable sub-problems. - Collaboration : Collaborate closely with research scientists and engineers to ensure task objectives align with model training goals and contribute to the overall improvement of the LLM's performance. - Iteration and Refinement : Incorporate feedback from model performance analysis to iterate on and refine task designs, ensuring they effectively target areas for improvement in the LLM's reasoning and problem-solving abilities. - Quality Assurance : Maintain consistency and clarity in task descriptions, ensuring they meet high-quality standards for accuracy, completeness, and readability. This includes rigorous testing and validation of the generated datasets. - Documentation : Create and maintain clear documentation for the designed tasks, including problem descriptions, solution explanations, and any relevant metadata. Job Requirements : - Experience : At least 3 years of experience in software development, with a strong focus on C/C++ programming. - Programming Proficiency : Demonstrable expertise in C/C++ with a strong understanding of data structures and algorithms. - Analytical Skills : Excellent analytical and problem-solving skills, with the ability to break down complex problems into structured, logical steps. - Communication Skills : Proficient in English, with excellent written communication skills for crafting clear, concise, and logical explanations of programming solutions and reasoning processes. - Attention to Detail : Meticulous attention to detail in designing programming and reasoning tasks, ensuring accuracy and consistency. - Problem-Solving Prowess : A passion for problem-solving and a strong aptitude for logical reasoning. - Competitive Programming (Preferred) : A profile on platforms like LeetCode, HackerRank, Codeforces, or GitHub that demonstrates advanced problem-solving skills and competitive programming experience is a significant plus. - AI/ML Interest (Preferred) : Familiarity with or a strong interest in the field of Artificial Intelligence and Machine Learning, particularly related to LLMs, is a plus. Mandatory Skills : - C++ : 3+ years of experience Bonus Skills (Considered a Plus) : - Experience with other programming languages (e.g., Python). - Experience with data manipulation and analysis tools. - Knowledge of software testing methodologies. - Contributions to open-source projects

About the Role : A global leader in technology innovation is seeking a highly skilled C++ Developer with a passion for competitive programming and logical reasoning to join our team. This critical role will focus on creating high-quality reasoning datasets to train and improve Large Language Models (LLMs). You will design structured programming challenges and reasoning tasks to enhance the problem-solving capabilities of advanced AI systems. This is an exceptional opportunity for individuals with strong problem-solving expertise to contribute to cutting-edge AI development and directly impact the future of LLMs. Job Responsibilities : - Dataset Creation : Design and create structured reasoning tasks rooted in programming challenges, specifically in C++, to effectively train LLMs. This includes defining problem statements, specifying input/output formats, and generating diverse test cases. - Problem Decomposition : Develop datasets that test and improve an LLM's ability to solve complex, multi-step problems, requiring clear and logical explanations of the solution process. This will involve breaking down problems into smaller, manageable sub-problems. - Collaboration : Collaborate closely with research scientists and engineers to ensure task objectives align with model training goals and contribute to the overall improvement of the LLM's performance. - Iteration and Refinement : Incorporate feedback from model performance analysis to iterate on and refine task designs, ensuring they effectively target areas for improvement in the LLM's reasoning and problem-solving abilities. - Quality Assurance : Maintain consistency and clarity in task descriptions, ensuring they meet high-quality standards for accuracy, completeness, and readability. This includes rigorous testing and validation of the generated datasets. - Documentation : Create and maintain clear documentation for the designed tasks, including problem descriptions, solution explanations, and any relevant metadata. Job Requirements : - Experience : At least 3 years of experience in software development, with a strong focus on C/C++ programming. - Programming Proficiency : Demonstrable expertise in C/C++ with a strong understanding of data structures and algorithms. - Analytical Skills : Excellent analytical and problem-solving skills, with the ability to break down complex problems into structured, logical steps. - Communication Skills : Proficient in English, with excellent written communication skills for crafting clear, concise, and logical explanations of programming solutions and reasoning processes. - Attention to Detail : Meticulous attention to detail in designing programming and reasoning tasks, ensuring accuracy and consistency. - Problem-Solving Prowess : A passion for problem-solving and a strong aptitude for logical reasoning. - Competitive Programming (Preferred) : A profile on platforms like LeetCode, HackerRank, Codeforces, or GitHub that demonstrates advanced problem-solving skills and competitive programming experience is a significant plus. - AI/ML Interest (Preferred) : Familiarity with or a strong interest in the field of Artificial Intelligence and Machine Learning, particularly related to LLMs, is a plus. Mandatory Skills : - C++ : 3+ years of experience Bonus Skills (Considered a Plus) : - Experience with other programming languages (e.g., Python). - Experience with data manipulation and analysis tools. - Knowledge of software testing methodologies. - Contributions to open-source projects

Overview We are seeking a strategic and hands-on Manager of Business Intelligence (BI) and Data Governance to lead the development and execution of our enterprise-wide data strategy. This role will oversee data governance frameworks, manage modern BI platforms, and ensure the integrity, availability, and usability of business-critical data. Reporting into senior leadership, this role plays a pivotal part in shaping data-informed decision-making across functions including Finance, Revenue Operations, Product, and more. The ideal candidate is a technically proficient and people-oriented leader with a deep understanding of data governance, cloud data architecture, and SaaS KPIs. They will drive stakeholder engagement, enablement, and adoption of data tools and insights, with a focus on building scalable, trusted, and observable data systems. Responsibilities Data Governance Leadership: Establish and maintain a comprehensive data governance framework that includes data quality standards, ownership models, data stewardship processes, and compliance alignment with regulations such as GDPR and SOC 2. Enterprise Data Architecture: Oversee data orchestration across Salesforce (SFDC), cloud-based data warehouses (e.g., Databricks, Snowflake, or equivalent), and internal systems. Cross collaborate with data engineering team for the development and optimization of ETL pipelines to ensure data reliability and performance at scale. Team Management & Enablement: Lead and mentor a team of BI analysts, and governance specialists. Foster a culture of collaboration, continuous learning, and stakeholder enablement to increase data adoption across the organization. BI Strategy & Tools Management: Own the BI toolset (with a strong emphasis on Tableau), and define standards for scalable dashboard design, self-service reporting, and analytics enablement. Evaluate and incorporate additional platforms (e.g., Power BI, Looker) as needed. Stakeholder Engagement & Strategic Alignment: Partner with leaders in Finance, RevOps, Product, and other departments to align reporting and data strategy with business objectives. Translate business needs into scalable reporting solutions and drive enterprise-wide adoption through clear communication and training. Data Quality & Observability: Implement data quality monitoring, lineage tracking, and observability tools to proactively detect issues and ensure data reliability and trustworthiness. Documentation & Transparency: Create and maintain robust documentation for data processes, pipeline architecture, code repositories (via GitHub), and business definitions to support transparency and auditability for technical and non-technical users. Executive-Level Reporting & Insight: Design and maintain strategic dashboards that surface key SaaS performance indicators to senior leadership and the board. Deliver actionable insights to support company-wide strategic decisions. Continuous Improvement & Innovation: Stay current with trends in data governance, BI technologies, and AI. Proactively recommend and implement enhancements to tools, processes, and governance maturity. Qualifications Data Governance Expertise: Proven experience implementing data governance frameworks, compliance standards, and ownership models across cross-functional teams. SQL Expertise: Advanced SQL skills with a strong background in ETL/data pipeline development across systems like Salesforce and enterprise data warehouses. BI Tools Mastery: Expertise in Tableau for developing reports and dashboards. Experience driving adoption of BI best practices across a diverse user base. Salesforce Data Proficiency: Deep understanding of SFDC data structure, reporting, and integration with downstream systems. Version Control & Documentation: Hands-on experience with GitHub and best practices in code versioning and documentation of data pipelines. Leadership & Stakeholder Communication: 3+ years of people management experience with a track record of team development and stakeholder engagement. Analytics Experience: 8+ years of experience in analytics roles, working with large datasets to derive insights and support executive-level decision-making. Programming Knowledge: Proficiency in Python for automation, data manipulation, and integration tasks. SaaS Environment Acumen: Deep understanding of SaaS metrics, business models, and executive reporting needs. Cross-functional Collaboration: Demonstrated success in partnering with teams like Finance, Product, and RevOps to meet enterprise reporting and insight goals.

Daily Reconciliation: Assist with reconciling financial transactions between suppliers/operators and internal systems. Work with online payment gateways to ensure daily reconciliations are accurate. Refunds and Payment Gateway Costs: Maintain accurate records of refunds and payment gateway (PG) costs, ensuring they align with transactions. Issue Resolution: Identify discrepancies in reconciliation items and ensure theyre addressed promptly by collaborating with relevant stakeholders. Management Reporting: Prepare regular reports for management, summarizing the reconciliation process, discrepancies, and resolutions. Audit Preparation: Ensure timely completion of audits, working proactively to avoid any negative findings or observations. Process Improvement & Automation: Continuously look for opportunities to automate and streamline reconciliation and reporting tasks to increase efficiency. Accounting Skills: Possess knowledge of the P2P process, provisions, purchase, journal voucher (JV), and bank entries, as we'll as inter-company transactions. GST & TDS Knowledge: Understand Goods and Services Tax (GST) and Tax Deducted at Source (TDS). Payment Gateway Understanding: Have a fair understanding of payment gateway transactions and chargeback reporting. Knowledge of Online Transaction Processing: Understand how online transactions are processed, including payment gateway systems and refund processes. Data Handling: Ability to work with large volumes of financial data, ensuring accuracy in reconciliation tasks. MS Excel Proficiency: Strong skills in MS Excel, particularly with advanced features such as Power Query and VBA, to enhance data manipulation and reporting. Communication & Collaboration: Capable of communicating effectively with multiple stakeholders to ensure issues are resolved quickly. Multitasking & Time Management: Ability to handle multiple tasks simultaneously while working independently and managing time effectively. Verbal and Written Communication: Strong verbal and written communication skills to collaborate with stakeholders and produce clear reports. Dynamics 365 Business Central: Familiarity with Dynamics 365 Business Central, especially in the context of financial processes, would be an added advantage.

Roles & Responsibilities Displays structured problem solving, application of right tools & techniques to solve open ended problems, Creates productized analytics solutions or frameworks independently. Understand Business & product problems and come up with deep data backed solutions. Root cause analysis and Deep dive analysis of certain product problems Running and maintaining the reporting system, presenting insights at a weekly forum Building templates, dashboards in Excel or on the intranet for operational and management reporting Data extraction as per business team request for Ad hoc analysis Business analysis and understanding Evaluating metrics to be tracked as per business goals, exploring other available metrics for deeper understanding of product performance Mentor Data analysts on day to day analysis and upskilling Work in a fast-moving environment, across multiple projects with varying levels of complexity and detailing Skills and Experience: 3-5 years of experience working with large datasets and conducting quantitative analysis. Strong understanding of statistics and prior experience in building statistical models, including hypothesis testing, product experimentation, A/B testing, and regressions. Expertise in SQL and advanced proficiency in Python for data manipulation and analysis. Previous experience working with e-commerce funnels and retention analysis. Applied knowledge of widely used analytics techniques, as well as emerging or niche techniques. Ability to conceptualize and analyze product and business metrics to assess and optimize product features. Knowledge of business modeling and basic financial metrics (bonus). Quick learner with the ability to adapt to a dynamic work environment. Team player with strong interpersonal skills and comfort in collaborating with cross-disciplinary teams. Proven expertise in designing and building dashboards, identifying key metrics, and ensuring intuitive layouts; adept at using tools like UDP and Power BI following best practices. Bachelor s degree in Computer Science, Engineering, or equivalent from a reputed institution.

ECMS ID 513251 Name of the Infosys PM and Employee No.* Vinodaran.d ECMS Request Number* Request Category (Opportunity/ Production) * (must be same as chosen in ECMS) Opportunity Number of openings 1 Job Title*Sr Data Scientist Work Location & Reporting Address* BANGALORE Vendor Rate* 9000 INR/Day Contract duration (in months)* 9 Months Skill Set/JD Required Skills and Experience: 8+ years of experience in data science or a related field. Experience with smart maintenance using Databricks and large language models (LLMs). Experience deploying models (ML or LLM) outside Cognite and consuming them through Cognite API. Understanding of supervised and unsupervised learning algorithms (e.g., regression, classification, clustering). Experience with deep learning and neural networks, particularly for LLMs. Expertise in natural language processing (NLP) techniques for text processing, sentiment analysis, and language generation. Experience working with models like GPT and BERT. Building conversational agents using LLMs and ML workflows. Techniques for model evaluation (e.g., cross-validation, A/B testing). Experience with JSON, REST APIs, and Data Modeling. Strong experience with Databricks integrate with Azure services such as Azure Data Lake and Azure Blob Storage. Strong knowledge of Python, SQL, and Spark for data transformation and writing code in notebooks for data manipulation and analysis. Experience with ETL processes. Ability to integrate data from different sources. Experience with Azure, AWS, or Google Cloud for data storage, processing, and deployment. Familiarity with continuous integration and continuous deployment processes for automating ML model and data pipeline deployment. BGV Check(post or pre-onboarding) Post Subcon Staffing end date: Dec ,2025 Niche Category (Niche/ Super Niche/Vanilla): Niche Client interview* (yes/No): Yes One person project* (yes/No) No Required Experience: >5 years Job Level JL5

About the Role : A global leader in technology innovation is seeking a highly skilled C++ Developer with a passion for competitive programming and logical reasoning to join our team. This critical role will focus on creating high-quality reasoning datasets to train and improve Large Language Models (LLMs). You will design structured programming challenges and reasoning tasks to enhance the problem-solving capabilities of advanced AI systems. This is an exceptional opportunity for individuals with strong problem-solving expertise to contribute to cutting-edge AI development and directly impact the future of LLMs. Job Responsibilities : - Dataset Creation : Design and create structured reasoning tasks rooted in programming challenges, specifically in C++, to effectively train LLMs. This includes defining problem statements, specifying input/output formats, and generating diverse test cases. - Problem Decomposition : Develop datasets that test and improve an LLM's ability to solve complex, multi-step problems, requiring clear and logical explanations of the solution process. This will involve breaking down problems into smaller, manageable sub-problems. - Collaboration : Collaborate closely with research scientists and engineers to ensure task objectives align with model training goals and contribute to the overall improvement of the LLM's performance. - Iteration and Refinement : Incorporate feedback from model performance analysis to iterate on and refine task designs, ensuring they effectively target areas for improvement in the LLM's reasoning and problem-solving abilities. - Quality Assurance : Maintain consistency and clarity in task descriptions, ensuring they meet high-quality standards for accuracy, completeness, and readability. This includes rigorous testing and validation of the generated datasets. - Documentation : Create and maintain clear documentation for the designed tasks, including problem descriptions, solution explanations, and any relevant metadata. Job Requirements : - Experience : At least 3 years of experience in software development, with a strong focus on C/C++ programming. - Programming Proficiency : Demonstrable expertise in C/C++ with a strong understanding of data structures and algorithms. - Analytical Skills : Excellent analytical and problem-solving skills, with the ability to break down complex problems into structured, logical steps. - Communication Skills : Proficient in English, with excellent written communication skills for crafting clear, concise, and logical explanations of programming solutions and reasoning processes. - Attention to Detail : Meticulous attention to detail in designing programming and reasoning tasks, ensuring accuracy and consistency. - Problem-Solving Prowess : A passion for problem-solving and a strong aptitude for logical reasoning. - Competitive Programming (Preferred) : A profile on platforms like LeetCode, HackerRank, Codeforces, or GitHub that demonstrates advanced problem-solving skills and competitive programming experience is a significant plus. - AI/ML Interest (Preferred) : Familiarity with or a strong interest in the field of Artificial Intelligence and Machine Learning, particularly related to LLMs, is a plus. Mandatory Skills : - C++ : 3+ years of experience Bonus Skills (Considered a Plus) : - Experience with other programming languages (e.g., Python). - Experience with data manipulation and analysis tools. - Knowledge of software testing methodologies. - Contributions to open-source projects.

About the Role : A global leader in technology innovation is seeking a highly skilled C++ Developer with a passion for competitive programming and logical reasoning to join our team. This critical role will focus on creating high-quality reasoning datasets to train and improve Large Language Models (LLMs). You will design structured programming challenges and reasoning tasks to enhance the problem-solving capabilities of advanced AI systems. This is an exceptional opportunity for individuals with strong problem-solving expertise to contribute to cutting-edge AI development and directly impact the future of LLMs. Job Responsibilities : - Dataset Creation : Design and create structured reasoning tasks rooted in programming challenges, specifically in C++, to effectively train LLMs. This includes defining problem statements, specifying input/output formats, and generating diverse test cases. - Problem Decomposition : Develop datasets that test and improve an LLM's ability to solve complex, multi-step problems, requiring clear and logical explanations of the solution process. This will involve breaking down problems into smaller, manageable sub-problems. - Collaboration : Collaborate closely with research scientists and engineers to ensure task objectives align with model training goals and contribute to the overall improvement of the LLM's performance. - Iteration and Refinement : Incorporate feedback from model performance analysis to iterate on and refine task designs, ensuring they effectively target areas for improvement in the LLM's reasoning and problem-solving abilities. - Quality Assurance : Maintain consistency and clarity in task descriptions, ensuring they meet high-quality standards for accuracy, completeness, and readability. This includes rigorous testing and validation of the generated datasets. - Documentation : Create and maintain clear documentation for the designed tasks, including problem descriptions, solution explanations, and any relevant metadata. Job Requirements : - Experience : At least 3 years of experience in software development, with a strong focus on C/C++ programming. - Programming Proficiency : Demonstrable expertise in C/C++ with a strong understanding of data structures and algorithms. - Analytical Skills : Excellent analytical and problem-solving skills, with the ability to break down complex problems into structured, logical steps. - Communication Skills : Proficient in English, with excellent written communication skills for crafting clear, concise, and logical explanations of programming solutions and reasoning processes. - Attention to Detail : Meticulous attention to detail in designing programming and reasoning tasks, ensuring accuracy and consistency. - Problem-Solving Prowess : A passion for problem-solving and a strong aptitude for logical reasoning. - Competitive Programming (Preferred) : A profile on platforms like LeetCode, HackerRank, Codeforces, or GitHub that demonstrates advanced problem-solving skills and competitive programming experience is a significant plus. - AI/ML Interest (Preferred) : Familiarity with or a strong interest in the field of Artificial Intelligence and Machine Learning, particularly related to LLMs, is a plus. Mandatory Skills : - C++ : 3+ years of experience Bonus Skills (Considered a Plus) : - Experience with other programming languages (e.g., Python). - Experience with data manipulation and analysis tools. - Knowledge of software testing methodologies. - Contributions to open-source projects

About the Role : A global leader in technology innovation is seeking a highly skilled C++ Developer with a passion for competitive programming and logical reasoning to join our team. This critical role will focus on creating high-quality reasoning datasets to train and improve Large Language Models (LLMs). You will design structured programming challenges and reasoning tasks to enhance the problem-solving capabilities of advanced AI systems. This is an exceptional opportunity for individuals with strong problem-solving expertise to contribute to cutting-edge AI development and directly impact the future of LLMs. Job Responsibilities : - Dataset Creation : Design and create structured reasoning tasks rooted in programming challenges, specifically in C++, to effectively train LLMs. This includes defining problem statements, specifying input/output formats, and generating diverse test cases. - Problem Decomposition : Develop datasets that test and improve an LLM's ability to solve complex, multi-step problems, requiring clear and logical explanations of the solution process. This will involve breaking down problems into smaller, manageable sub-problems. - Collaboration : Collaborate closely with research scientists and engineers to ensure task objectives align with model training goals and contribute to the overall improvement of the LLM's performance. - Iteration and Refinement : Incorporate feedback from model performance analysis to iterate on and refine task designs, ensuring they effectively target areas for improvement in the LLM's reasoning and problem-solving abilities. - Quality Assurance : Maintain consistency and clarity in task descriptions, ensuring they meet high-quality standards for accuracy, completeness, and readability. This includes rigorous testing and validation of the generated datasets. - Documentation : Create and maintain clear documentation for the designed tasks, including problem descriptions, solution explanations, and any relevant metadata. Job Requirements : - Experience : At least 3 years of experience in software development, with a strong focus on C/C++ programming. - Programming Proficiency : Demonstrable expertise in C/C++ with a strong understanding of data structures and algorithms. - Analytical Skills : Excellent analytical and problem-solving skills, with the ability to break down complex problems into structured, logical steps. - Communication Skills : Proficient in English, with excellent written communication skills for crafting clear, concise, and logical explanations of programming solutions and reasoning processes. - Attention to Detail : Meticulous attention to detail in designing programming and reasoning tasks, ensuring accuracy and consistency. - Problem-Solving Prowess : A passion for problem-solving and a strong aptitude for logical reasoning. - Competitive Programming (Preferred) : A profile on platforms like LeetCode, HackerRank, Codeforces, or GitHub that demonstrates advanced problem-solving skills and competitive programming experience is a significant plus. - AI/ML Interest (Preferred) : Familiarity with or a strong interest in the field of Artificial Intelligence and Machine Learning, particularly related to LLMs, is a plus. Mandatory Skills : - C++ : 3+ years of experience Bonus Skills (Considered a Plus) : - Experience with other programming languages (e.g., Python). - Experience with data manipulation and analysis tools. - Knowledge of software testing methodologies. - Contributions to open-source projects

The ideal candidate will have experience in data privacy and protection, with a strong understanding of regulations such as GDPR, CCPA, and ISO 27001. They will be responsible for ensuring that the organizations data handling practices are compliant with these regulations, and will work to implement data governance policies and procedures to protect sensitive information. The successful candidate will have strong data analysis skills, with the ability to collect and analyze data to inform data governance and consent management decisions. They will be responsible for developing and implementing consent management processes, and will work to ensure that the organization is transparent and compliant in its data handling practices, with a focus on data privacy and protection. Ab out the Role: In this opportunity as the Data Analyst and Privacy Operations, you will: We are seeking a detail-oriented and experienced Data Analyst to join our Data Integrity & Identity team, with a focus on Privacy Operations. This team is an enabling function within our Responsible AI pillar, responsible for ensuring the organizations compliance with data protection regulations such as GDPR, CCPA, and ISO 27001. The team is focused on helping business functions implement technology and automated solutions to enhance compliance with personal data legislation and adhere to data management best practices. The Data Analyst will support the data integrity and identity program by applying privacy by design principles on a global scale, with a focus on data privacy, data protection, and consent management. This individual will assist with a variety of projects, including consent management, cookie compliance, data residency, and enterprise identity, ensuring that each aligns with our privacy objectives. This role is ideal for someone with a keen interest in how technology and automation can be leveraged to improve the handling of personal data on a global scale, with a focus on data privacy, data protection, and consent management. The successful candidate will demonstrate a strong understanding of data analysis, data governance, and data protection principles About You: Youre a fit for the role of Data Analyst, if you meet all or most of these criteria: A minimum of 3-6 years in a data analyst role, preferably within the data governance or privacy space. Key responsibilities include preparing engaging socialization materials to communicate the programs value and achievements to stakeholders, leveraging their proficiency in MS Office (Excel and PowerPoint), Azure DevOps, PowerBI, and Lucidchart. Additionally, the analyst should be able to demonstrate a strong technical understanding that would enable them to execute tasks like cookie scanning and categorization and the manipulation of extensive data sets and CSV files, to support our reporting requirements. Seeking candidates with proven experience in data migration projects, ensuring smooth data transfer between systems while upholding data integrity and adhering to privacy regulations. Looking for individuals with strong skills in data mapping to effectively align data sources with target systems, guaranteeing accurate and consistent data representation across different platforms. Require proficiency in managing and analyzing large datasets, utilizing tools such as Power BI and advanced Excel techniques to facilitate data-driven insights and support decision-making. Candidates should have experience or a keen interest in working with consent management solutions, focusing on enhancing practices and ensuring compliance with data handling regulations. A degree in Information Technology, Data Science, Computer Science, or a related field. Proficiency in data management tools and ETL processes, with experience using Power BI and data visualisation platforms. Advanced expertise in MS Office, particularly MS Excel, to effectively manage and analyze large CSV files and extensive datasets, ensuring accurate data manipulation and reporting. Experience with large-scale data handling, including working with extensive datasets and CSV files, to support efficient data manipulation and reporting. Strong analytical and problem-solving skills to support data integration, mapping, migration and data residency projects. Keen attention to detail to ensure data accuracy and integrity throughout the handling and reporting processes. This position plays a vital role in ensuring our data integrity and identity practices are strong, compliant, and aligned with our strategic objectives. If you are a creative thinker passionate about enhancing personal data controls, we encourage you to apply. #LI-VGA1 What’s in it For You Hybrid Work Model We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

1 Data Engineer >10 JL5 2 526567 Offshore/Anywhere ECMS ID 526567 Name of the Infosys PM and Employee No.* Vinodaran.d ECMS Request Number* Request Category (Opportunity/ Production) * (must be same as chosen in ECMS) Opportunity Number of openings 1 Job Title*Sr Data Engineer Work Location Offshore, India Vendor Rate* 9000 INR/Day Contract duration (in months)* 9 Months Skill Set/JD Required Skills and Experience: 10+ years of experience in data engineering with a strong focus on Databricks. Experience with Databricks interface, including the workspace, clusters, and notebook organization. Knowledge of how notebooks integrate with Azure services such as Azure Data Lake and Azure Blob Storage. Strong knowledge of Python, SQL, and Spark for data transformation and writing code in notebooks for data manipulation and analysis. Hands-on experience with Microsoft Power Platform. Experience with JSON, REST APIs, and Data Modeling. Proficiency in CI/CD tools and processes. Strong analytical and problem-solving skills. Design, develop, and maintain scalable data pipelines using Databricks. Implement CI/CD processes to automate and streamline data workflows. Collaborate with data scientists, analysts, and other engineers to understand data requirements and deliver solutions. BGV Check(post or pre-onboarding) Post Subcon Staffing end date: Dec ,2025 Niche Category (Niche/ Super Niche/Vanilla): Niche Client interview* (yes/No): Yes One person project* (yes/No) No Required Experience: >10 years Job Level JL5