2,725 big data jobs in India.

Title: Project Director - Data Center Location: Mumbai Exp Required: 20-25 years Responsibilities: Experience of 25+ years in Project Management in Large Data Centre Projects / Similar EPC projects involving MEP Techno-commercial person, having experience of Project Management, Development and Execution of Hyperscale data ...

... Power BI development. Strong proficiency in DAX, Power Query, and Power BI Service. Excellent command of SQL, including stored procedures. Proven experience in data modeling, data transformation, and ETL processes. Strong understanding of data warehousing concepts (mandatory). Experience working with multiple data sources ...

At Peroptyx, we are looking for Data Analysts who will review mapping data for digital mapping applications. You will check that the distance from a starting point to an end destination is listed accurately resulting in better user experiences. With this job you can plan your days around this highly flexible working schedule, ...

... https://jobeax.com/link/r8zBttN8F8XW0le9 Responsibilities : - Develop and Maintain Data Pipelines : Design, develop, and maintain scalable data pipelines using Python and Databricks (PySpark).- Data Processing : Apply strong proficiency in Python and advanced Python concepts to process and manipulate large datasets effectively.- API ...

... intuitive and impactful solutions for marketing teams. The company is currently building its core team in https://jobeax.com/link/TEtw0SgP3UR1RgAh Overview:As a Data Platform Engineer, you will contribute to building the technology and data foundation for Different AI's products. The role involves working in an early-stage ...

Lead Data scientist Lead Data scientist The Lead Data Scientist architects, builds, and runs production-grade Machine Learning and Generative AI systems—owning the full lifecycle from model development to scalable cloud deployment and ongoing performance monitoring . In addition, the role partners with commercial stakeholders ...

... for data governance. Perform risk assessments and DPIAs. Create and put into effect data privacy policies. Risk Evaluations Give instructions and directions on data protection. Communicate with authorities and deal with data breaches 5 years' experience working within Data Protection - Strong knowledge of GDPR and data protection ...

... subscribers . As a data-driven organization , we process 2 trillion events daily and store 100 PB of data , enabling smarter business decisions. With growing data demands and evolving use cases, we need faster, scalable decision-making powered by analytics and AI. Lead Data Analyst at Airtel, you will play a pivotal role ...

... understanding of ETL/ELT concepts, data integration, data transformation, and data warehousing.- Experience designing and implementing data pipelines using multiple data sources.- Good understanding of Azure cloud services, security, networking, and data platform architecture.- Experience working with ERP data and ERP data flows.- ...

... ways that are robust, scalable, and secure. We don't get everything right first time, but you will help us reflect, adjust and be better next time around. Our data pipelines are currently based upon Google BigQuery, FiveTran and DBT Cloud. These involve advanced SQL alongside Python in a variety of areas. We don't need you ...

... and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data. Design and implementation of data warehoused and data ...

... scalable data capabilities Strong programming, data engineering, data modeling and analytical problem-solving skills, including experience with large and complex datasets Experience operating in cross-functional environments and partnering with business, analytical, technology and data stakeholders to deliver complex initiatives ...

... consistently. You will also partner with the different teams to identify, pilot, and operationalize AI- and automation-driven tools that reduce manual work, improve data quality, and scale our workflows, while training your team to adopt these tools safely and effectively. A Day in the Life of a Provider Data Operations Team Lead: ...

... working experience on infra-resource planning, database upgrades/patching, backup/recovery and database troubleshooting. Should have working experience on all database support activities like Replication, Scalability, Availability, Performance tuning/optimisations on the database servers running large volumes of data Should ...

We are seeking a highly analytical Data Engineer with a strong background in the BFSI sector to own the end-to-end lifecycle of our automated data reporting pipelines. they design, maintain, and optimize robust data workflows that process large-scale financial data while ensuring data governance and operational https://jobeax.com/link/idqhXkzRwBwOt6Bb ...

... Scientist Talent Network Type: Contract Compensation: $100–$150/hour Location: Remote Role Responsibilities Design precise, task-specific grading criteria for data science deliverables, including exploratory data analyses , statistical modeling work , machine learning pipelines , and A/B test write-ups . Evaluate AI-generated ...

... hands-on sessions on database concepts such as relational models, SQL, NoSQL, normalization, and database design. Teach advanced topics like query optimization, database security, data warehousing, and cloud databases. Build real-world capstone projects that combine data visualization with AI/ML applications. Stay up to date ...

... solve business-critical challenges such as churn prediction, recommendation systems, and behavioral analytics. Data Engineering & Integration Architect robust data collection and integration pipelines across multiple data sources, including Firebase (Firestore, Firebase Analytics) and BigQuery . Oversee data preprocessing, ...

... scripts using Selenium WebDriver with C# or Java. Implement and optimize test automation strategies for functional, regression, and end-to-end testing. Design data-driven, keyword-driven, and hybrid automation frameworks. Develop and maintain robust test harnesses and libraries to support automation. Implement parallel execution ...

... experience applying AI/ML to moderation, fraud/risk detection, anomaly detection, or similar domains - Strong proficiency in SQL and Python, with experience in data for real-time and streaming data - Experience building executive-ready dashboards and BI reporting for large-scale programs - Solid understanding of marketplace ...