4,151 it data analyst jobs in India.

... Python and SQL. ~ Hands-on experience with: - Terraform - Airflow - dbt - Kubernetes - Cloud platforms (AWS, Google Cloud, or Microsoft Azure) - CI/CD pipelines (GitHub Actions, GitLab CI, CircleCI, etc.) - Cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks, etc.) Strong understanding of analytical data models ...

... experience with Azure services and worked on Azure data projects - Experience with Azure cloud services: ADF, ADB, Azure SQL server - Should have worked in Azure data bricks orchestration with any language (like R, Scala, Python, SQL) - Should have developed Azure data factory pipelines - Experience with DevOps, Continuous ...

... engineering and data quality processes. 4+ years of experience in data engineering, including at least 1 year with on-premise systems. - Proficiency in Python for data workflows and pipeline development. - Strong experience with SQL, Spark, Iceberg, Hadoop, HDFS, and dbt. - Familiarity with third-party APIs and data ingestion ...

... excited about data infrastructure and operations with a familiarity working in cloud environments and Working with data excites you: you have created data architecture, you can build and operate data pipelines, and maintain data storage, all within distributed systems Our Total Rewards program reflects our commitment to ...

... cases, rather than one-off pipelines. The role also operates within an evolving ecosystem where contract-driven data approaches are increasingly used to define datasets, structure, quality expectations, and access patterns. While direct experience with data contracts is not required, exposure to structured data governance, ...

... concepts and architecture. Integrate with and support various reporting tools. Work closely with Architects and ingestion teams to create and deliver robust data solutions. Take full technical responsibility for all upgrade remediation activities. Ensure data quality, integrity, and performance across all data solutions. ...

... workloads. Collaborate with data architects, analysts, application teams, and other stakeholders to deliver scalable data solutions. Follow best practices for data security, governance, testing, version control, and CI/CD 7+ years of experience in Data Engineering. - Strong hands-on experience with Databricks . - Strong ...

... large-scale data platforms, data warehouses, or distributed data systems. Deep understanding of database architecture, data modeling, query optimization, indexing, partitioning, and storage systems. Experience with cloud data infrastructure and databases, including understanding of performance, scalability, reliability, and cost ...

... commitment and accountability. Technical Skills & Experience : Strong programming proficiency in Scala and/or Java In-depth knowledge and practical experience with Hive, including query optimization and data analysis. Experience with data platforms such as Cloudera Data Platform (CDP) is highly desirable. Bachelor's / Master's ...

... data tools: . Data ingestion: to ingest the data from a data source . Data processing: to process, transform and distribute the data to the target location . Data exposition : to distribute and expose the data hosted in the data platform . Data cleaning: to purge the data on the Lake in a secure way . Data tools: data formatter, ...

... data and/or other sources of data e.g. Visa data, third party etc. Continually look at the environment to challenge various assumptions around new sources of data, tools, talent, and infrastructure. Actively seek out opportunities to innovate by using VisaNet, non-traditional data and new modelling techniques fit for purpose ...

... Familiarity with financial domains (Payments, FX, Accounts) - Experience in data product-oriented delivery approaches - AI-assisted data product development experience Data & AI - Data Engineering - Data Quality & Validation Big Data - Big Data - Pyspark Data & AI - MLOPS - Python Database - Database Programming - SQL Data & AI - ...

... operations, weather, and geospatial systems. Our work sits at the intersection of computer vision, physical systems, and large-scale ML, with deployments across utilities in the United States and India. We leverage multimodal data including satellite imagery, LiDAR, and street-level data to build high-fidelity representations ...

... senior leadership to enhance data understanding and quality across business areas and functions Direct the creation and implementation of processes to identify, monitor, and mitigate data risks, including protection, retention, storage, use, and quality. Ensure APAC data risks are managed within tolerance and issues are expediently ...

... could set you apart: Knowledge of credit bureau data. Experience or advanced degree with focus on Entity Resolution concepts, prototype or hand-on project. Graph database, AI/ML tools usage to solve large scale business problems. Experience in Data Visualization and storytelling. Engage and collaborate with teams to identify ...

... individual who is passionate about working with data and data systems and play a critical role in building finance data sources and frameworks, ensuring the scalability and reliability of our data Shift time: 5.00 PM - 2.00 AM Own,build, and maintain scalable data pipelines that connect various cloud data sources. Design, build, ...

... stakeholders. Excellent analytical and problem-solving abilities. Experience with Snowflake, DataStage, or SSIS. Familiarity with the Healthcare domain and its data standards. Quick adaptability to AI tools and accelerators. Exposure to cloud platforms, preferably Microsoft Azure. Benefits: Competitive salary and benefits ...

... Kubernetes architecture and Docker best practices for production workloads. Programming & Data: Expert proficiency in SQL and Python is required for complex data manipulation and SDK integration. Streaming & Scalability: Experience handling large-scale, real-time datasets. Familiarity with Apache Flink and event-driven ...

... metrics through data-driven insights. Manage and mentor data engineers and analysts to develop technical depth, promote a culture of experimentation, and enhance data literacy across the organization. Foster innovation, continuous learning, and the adoption of emerging technologies within the data team. Conduct performance ...

... Responsibilities Develop data solutions within Big Data and cloud environments Work with diverse datasets for Data Science and Analytics teams Build and design data architectures using Azure Data Factory, Databricks, Data Lake and Synapse Perform data mapping and transformation activities Develop data integration and transformation ...