4,358 operations data analyst jobs in India.

... foundation models, embeddings, prompt engineering, tool calling, function calling, and structured outputs.- Design and implement RAG architectures, including data ingestion, document processing, chunking, embedding generation, retrieval, ranking, grounding, citations, and evaluation.- Work with vector databases and search ...

... with colleagues to understand data requirements and goals. - Stay updated with the latest data science trends and tools. - Document processes followed during data collection and analysis. - Support data integrity and validation initiatives. Skills: - Data Collection: Ability to gather data from multiple sources effectively. ...

Role : Data Solutions Architect - Microsoft FabricRole Purpose : Design and implement enterprise-scale data solutions on Microsoft Fabric, while leading modernization from legacy platforms such as Qlik, Gather, and other BI/data https://jobeax.com/link/LNO4qyefA3UlJa2l Responsibilities : - Architect end-to-end data pipelines ...

... approval of significant changes to technology environments, approval of cloud environments, and approval of Global Technology Standard exceptions.- Security Operations : Accountability for security operations, working with technology teams to ensure that technical & information security compliance standards are met on an ...

... robustness, and scalability. Perform end-to-end data science workflows: data collection, cleaning, feature engineering, model training, validation, and monitoring. Experience building and optimizing NLP systems using modern approaches (e.g., Technology- Data Science- Machine Learning, Technology- Machine learning- data science

... and manage S3-based data lake architecture for raw data storage, ingestion, and processing. Support SQS-based asynchronous workflows for report generation and data-processing queues. Monitor data pipeline health and proactively troubleshoot issues affecting data accuracy, reliability, or freshness. Implement data quality ...

... Experience in data migration projects Exposure to on-prem + cloud environments Strong SQL proficiency (should handle basic queries comfortably) Clear understanding of data engineering concepts Experience with: Practical coding ability About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of ...

Job Requirements About the Role The Data Scientist supports the Data & Analytics team by identifying business needs, building analytical models and tools, and developing test strategies. The role contributes to the delivery of business outcomes by supporting Senior Analysts and Lead Analysts in executing data science initiatives. ...

... Permanent Hybrid Work Language: Fluent Business English As a Data Engineer, you will play a pivotal role in designing, building, and maintaining highly scalable data management systems that enable Nespresso's data-driven decision-making. You will integrate diverse data sources into a unified platform, ensuring data accessibility, ...

... models to solve complex data problems. - Analyze large datasets to identify trends, patterns, and insights. - Write efficient and maintainable code in Python for data manipulation and model building. - Utilize SQL for data extraction, transformation, and database management. - Apply statistical methods to interpret data and ...

Job Role: Senior Data Scientist Experience Required : 6–9 years Swiggy is India's leading on-demand delivery platform, leveraging data science and cutting-edge AI to redefine convenience for millions of customers. The Food-DS team works at the intersection of machine learning, advanced architecture, and applied research ...

We are looking for a Senior Data Engineer with strong expertise in Azure Databricks, PySpark, and distributed computing to develop and optimize scalable ETL pipelines for manufacturing analytics. The role involves working with high-frequency industrial data to enable real-time and batch data processing. Perform data pre-processing, ...

... or Azure in microservices architectures.- Thrives in fast-moving startup environments with high ownership and ambiguity.- Strong Python skills with focus in data engineering and data analysis, including proficiency with data mining algorithms such as Scikit-Learn, NumPy, SciPy and Pandas.- Strong understanding of machine ...

The High-Performance Computing Storage Engineer is primarily responsible for the overall health and maintenance of storage technologies in our managed services customer's environments.

... Update and maintain records and databases, ensuring that all data is up-to-date and accurate - Assist with data cleaning and deduplication activities, to ensure data quality and consistency - Work collaboratively with other teams, including operations, customer service, and sales, to ensure that data is accurate and up-to-date ...

... improve team's data architecture, making it better and easier to maintain (e.g., data auditing solutions, automating, ad-hoc or manual operation steps) Owns the data quality of important datasets and any new changes/enhancements 1+ years of data engineering experience - Experience with data modeling, warehousing and building ...

Data Scientist – AI/ML & Identity Management Location: Hyderabad, India Experience: 7–15 years Employment Type: Full-time, Work from Office Role Overview We are looking for a Data Scientist with hands-on Python coding skills to develop and deploy AI/ML solutions for identity management. The role involves working with real-world ...

... & Modern Data Engineering - AWS / Azure / GCP - Python / PySpark / SQL - Snowflake / Databricks / Spark / BigQuery / Synapse - Kafka / Kinesis / Event Hub / Dataflow - Apache Airflow / Astronomer - Data Modeling, Quality & Reliability - Data Governance & Metadata Management - CI/CD & DataOps - Data Platform Engineering ...

... Azure Databricks : - Databricks SQL- Data processing and transformation- Experience developing and maintaining Databricks notebooks- Understanding of Spark-based data processing3. Azure Data Platform : - Azure Data Lake- Experience working within Azure data ecosystems- Understanding of cloud-based data architectures4. Data ...

... parallelism and batch data processing - 5+ years of SQL experience - complex joins, window functions, aggregations across large datasets - Experience with Oracle Data Pump (expdp/impdp) or SQL Server BCP / BULK INSERT for high-volume data movement Experience with SQLAlchemy, cx_Oracle, or pyodbc for Python-based database connectivity ...