4,317 it data analyst jobs in India.

... Demonstrate expertise in data modeling, database design, cloud architecture, and data infrastructure management. 5+ years of experience in data engineering, cloud architecture, or data infrastructure. - 3+ years of experience working with GCP or similar cloud platforms (Azure, AWS). - Experience with GCP managed data services (Cloud ...

... incorporating dbt best practices including model layering, macros, incremental strategies, and snapshot patterns. • Develop dbt-native tests as well as custom Python unit tests to validate transformation correctness and data quality. • Develop Airflow DAGs to orchestrate Python EL and dbt scripts end-to-end, producing output that ...

... with Research and Modeling teams, with a primary mandate on engineering, data quality, scalability, and production readiness. We are seeking a self-motivated Data Engineer to build and enhance our Scalable Data Platform, delivering curated historical datasets at security, index constituent, and portfolio levels to support ...

... scientists and analysts to understand data needs and deliver appropriate solutions. Design and implement data models that support business intelligence and analytics initiatives. Professional & Technical Skills: Must To Have Skills: Proficiency in AWS Analytics. Experience with data warehousing solutions and data lake architectures. ...

... PySpark for large-scale data processing - Working experience with Databricks (Delta Lake, Unity Catalog, notebooks) - Exposure to AI/ML data pipelines — vector databases, embeddings, or RAG architecture is a plus - Experience with cloud data platforms (Azure Data Factory, AWS Glue, or equivalent) - Understanding of data modeling, ...

... Collaboration Translate business requirements into technical data engineering solutions Collaborate with product managers, analysts, and other stakeholders on data needs Participate actively in scrum/agile development processes Provide technical expertise to support strategic decision-making Data Architecture & Design Apply ...

... 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting ...

... models and data pipelines to enable efficient data collection and processing from diverse data sources. Implements data governance policies and procedures for data handling to manage data consistency, integrity, accuracy, security, and reliability. Implements rigorous data validation and integrity checks to support data ...

... for AWS and Databricks clusters to improve efficiency and reduce costs. - Integrate Databricks with various cloud services while following governance and security best practices. Testing & CI/CD Best Practices - Write unit test cases and integration tests to ensure data pipeline reliability. - Establish best practices for ...

... stored procedures. Ensure data integrity, quality, and availability across systems. Integrate data between systems using Python (e.g., REST APIs, flat files, database connectors). Support deployment, monitoring, and maintenance of applications in production. Collaborate with data engineers, analysts, and application developers ...

... the strategic direction and architecture of our data infrastructure. This is a high-visibility, high-impact role where you'll co-own the overall platform architecture, set technical standards across the entire Data Engineering organization, and drive initiatives that directly impact our data strategy. You'll be a force ...

... data integration, transformation, and deployment processes. Monitor and troubleshoot data pipelines, proactively identifying and resolving issues related to data ingestion, transformation, and loading. Conduct data validation and testing to ensure the accuracy, consistency, and compliance of data. Stay up-to-date with ...

... Experience with Jenkins, GitLab, and deployment workflows. Quality Focus: Validates outputs, tests pipelines, and ensures high-quality deliverables. Experience with Terraform, tfsec, and infrastructure security best practices. Preferred Skills and Experience Data Platforms: Experience with Teradata and/or Starburst. Data ...

... 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting ...

... and data protection practices. - Assist with continuous monitoring and testing of existing privacy controls implemented across businesses, identify gaps, and initiate corrective measures. - Assist with data discovery activities across the enterprise; ensure maintenance of personal data inventory. - Assist with design and ...

... of the data engineering team and working on in-house products in for Data Foundation Collaborating closely with Data Engineering Leads and managers and other DataOps teams. This role involves hands-on development work and will directly report to Data Engineering Lead. Must have skills: Azure Databricks, Unity Catalog, Delta ...

... for real-time data streaming. - Proficiency with BigQuery, Google Pub/Sub, and other Google Cloud services. - Familiarity with Apache Hadoop for distributed data processing. ~ Technical Skills: - Strong understanding of data architecture and processing techniques. - Solid understanding of ETL pipelines, data ingestion, ...

... Devices organization to ingest relevant datasets into the Alexa Smart Home BI data-warehouse. - Collaborate with other peer data engineers to build self-service data platforms that possess key capabilities like data discovery, data lineage, proactive data monitoring and security/compliance monitoring. - Manage data infrastructure, ...

... improving data maturity across the company. This role will partner closely with divisional and functional Data Management Offices (DMOs), business leaders, and IT teams to drive execution of a broad portfolio of data initiatives spanning data strategy, data governance, data quality, data stewardship, data architecture, and ...

... pipelines for large-volume datasets. Work with business and technical teams to understand data requirements and deliver robust solutions. Perform data modeling, data validation, and performance optimization. Monitor and troubleshoot data pipelines and resolve production issues. Implement data quality, security, and governance ...