2,041 data operator jobs in India.

... of where data comes from and how it is used. Builds and supports data pipelines using SQL, Snowflake, Python, Airflow, and API integrations. Clearly explains data issues and insights to senior leaders, including the CIO. Data observability and automated data quality frameworks End-to-end data lineage (source-to-target understanding) ...

... object-oriented programming principles. - Experience developing backend services, APIs, and distributed applications. - 2+ years of experience working with SQL databases, including schema design and data modelling. - Experience with message-based/event-driven architectures such as Kafka, Pulsar, RabbitMQ, or similar technologies. ...

... (RCA) and drive permanent resolutions. Participate in on-call support and major incident management (P1/P2 incidents). Troubleshoot application, middleware, and database issues. Execute change requests (CRQs) following approved implementation plans and MOPs. Support patching activities and certificate renewals. Work with cross-functional ...

... extend an existing Python codebase. Since access to external LLM-based coding assistants such as ChatGPT or Claude may be limited due to the confidentiality of data, the candidate must have strong independent coding and problem-solving abilities. Perform data preparation, feature engineering, statistical analysis, model training, ...

... Networking concepts: Experience managing capacity planning and throughput optimization. - Familiarity with enterprise monitoring tools (Prometheus, Grafana, Datadog, Splunk). - Experience supporting an enterprise-level environment. - Thorough understanding compliance standards and risk management practices for systems ...

... experience with data visualization tools like Tableau or Power BI https://jobeax.com/link/D7jAhstFP8xZgdHX least 3 years of experience in Cloud platforms (e.g., ADF, Data bricks, Azure) and their AI services. At least 6-8 years of experience in data science & 1 year with a focus on supply chain analytics, supply chain processes, ...

Summary: Performs analytical tasks and initiatives on huge amount of data to support data-driven business decision and development. Responsibilities Direct the data gathering, data mining, data processing and data modelling for large datasets including the processing, cleansing, and verification of datasets used for analysis. ...

... for its work in digital transformation, technology consulting, and business process outsourcing, Business Focus on Digital Engineering, Cloud Services, AI and Data Analytics, Enterprise Applications ( SAP, Oracle, Sales Force ), IT Infrastructure, Business Process Out Source. India is a major operational hub, with as its ...

... AI, and financial services data science, bringing innovative approaches into the organization. Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, Economics, Engineering, or another quantitative discipline. Master's or PhD is a plus. At least 3 years of hands-on experience in Data Science, Machine ...

... customer experiences. Designing the data model for data collection in the data warehouse Data Collection and data storage from existing and new data sources to the Data Warehouse and Data Lakes Building ELT/ETL solutions to enable batch processing and real-time data processing Maintaining data pipelines and monitoring data pipeline ...

... of experience in Compliance, KYC/AML, Risk Intelligence, or Sanctions Screening platforms. Experience with sanctions, watchlists, PEP data, corporate registry data, beneficial ownership data, or adverse media datasets is highly preferred. - Exposure to NLP/ML , Elasticsearch/OpenSearch, and multilingual data processing is ...

What will you be doing Installing, configuring and upgrading Oracle databases. Oracle Administration including: Experience with RAC, RMAN, Data Guard, Golden Gate, Exadata, Performance Tuning, WebLogic middleware - Forms and Reports, Various storage engines, Oracle customer tools, Performance tuning of Oracle databases, ...

... sort order 6. Apply index-friendly query patterns :- Sargable predicates- Avoiding functions on indexed columns where possible- Minimising implicit casts and datatype mismatches7. Implement resilient pipelines with proper error handling, retry logic, idempotency, and reprocessing/backfill capability. (ref:hirist.tech)

... applications and external systems through REST APIs, Web Services, Event Streaming, and other modern integration patterns. Understanding of Data Governance, Metadata Management, Data Quality, Master Data Management (MDM), and Data Lineage concepts. Strong knowledge of data security practices, including data encryption, masking, ...

... 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 ...

... scalability, and alignment with global standards Translate finance questions into structured data requirements for the Power BI team Data Definitions & Governance Own data definitions, KPI definitions, field mappings, and calculation logic Ensure consistent KPI definitions across countries, regions, and business units Data Modelling ...

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Data Engineering Minimum 12 ...

... 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.- ...

... collaborate alongside data team members based in Ireland, USA and India. Following the successful delivery of some fantastic products in 2024, we have embarked upon a data-driven strategy in 2025. We have a huge amount of data and are keen to accelerate unlocking its value to delight our customers and colleagues. You will be tasked ...