Top Data Engineer Jobs in Bangalore

Design, build, and operate end-to-end cloud data pipeline solutions with a focus on reliability, scalability, security, and zero-downtime releases. Monitor and optimize performance, resolve incidents, support production lifecycle, and collaborate with product teams to deliver data products for finance, payments, and regulatory reporting.

Design, build, and govern a semantic metric layer and schema registry for operational data. Own NL-to-SQL pipelines, MCP server deployment, BI tool integration, cloud warehouse optimization, and schema-change/data-contract processes to ensure trusted, agent-consumable metrics with lineage and validation.

The Data Engineer will optimize the elluminate® platform for clinical data through coding, ETL processes, and deliver client-focused solutions while ensuring compliance with industry standards.

Design, build, and maintain cloud-native data pipelines and ETL/ELT workflows for high-volume trade lifecycle data. Integrate DTCC sources (RTTM, Settlement Web) into a Unified Trade Record, process ISO 15022 messages, manage trade exception databases, optimize SQL Server performance, and ensure data quality, lineage, governance, and observability while collaborating with business stakeholders.

Lead Data Engineer responsible for making critical asset and wealth management data AI-ready: build and maintain scalable data pipelines, ensure lineage and metadata, enforce data quality and governance, drive automation and controls, collaborate with business and tech partners, and deliver executive visibility and dashboards to support analytics and AI initiatives.

Design and implement scalable data engineering solutions and EDW data models. Build ETL/ELT pipelines (IICS) into Snowflake, optimize performance, enforce governance, support production deployments, conduct code reviews, troubleshoot issues, and collaborate with cross-functional teams to deliver robust, maintainable data platforms.

Design, build, and maintain scalable EDW data pipelines and models using Snowflake and IICS. Collaborate with cross-functional teams, enforce governance and standards, conduct code reviews, troubleshoot production issues, and drive continuous improvement of data engineering practices.

Design, build, and optimize scalable data pipelines and architectures. Collaborate with cross-functional teams to deliver data solutions, ensure data quality and integrity, enable advanced analytics, and drive continuous improvement and innovation in data engineering.

The Sr Data Engineer I will provide consulting services for clinical systems, manage projects, and design SQL code for data reporting and analytics while ensuring compliance with industry standards.

Design, build, and maintain Databricks-based data pipelines using PySpark and Delta Live Tables. Implement data models, optimize complex SQL and PySpark transformations, manage Unity Catalog for governance, support AI/ML downstream consumption, monitor and troubleshoot pipelines, contribute to CI/CD, and help power the semantic layer for Power BI dashboards.

The Senior Software Developer will develop and support Qlik Sense applications, ensure best practices, and improve analytics processes while collaborating with clients and teams.

Design, build, and operate scalable, reliable data pipelines and services (Go/Scala) to power internal data products. Partner with engineers, analysts, and product stakeholders to model datasets, improve data platform architecture, ensure data quality and observability, and support AI/LLM-enabled features. Lead design reviews, mentor teammates, and collaborate globally on ingestion, governance, and production operations.

Lead design and deliver end-to-end cloud data pipelines and resilient architectures, implement testing and monitoring, optimize data processing, support production lifecycle and coach engineers while partnering with product and business stakeholders.

As a Data Engineer, you will create data solutions involving data generation, pipelines, quality assurance, and ETL processes for effective data management.

Design, develop, and maintain data solutions, create data pipelines, ensure data quality, and implement ETL processes. Mentors junior staff and collaborates across teams.

As a Data Engineer, you'll design, develop, and maintain data solutions, create data pipelines, ensure data quality, and implement ETL processes.

Design, build, and maintain end-to-end ETL/data pipelines to migrate and transform data from on-prem to AWS. Ensure data quality, monitor and optimize pipelines, implement incremental loads, and collaborate with solution, DevOps, and cross-functional teams for deployment and handover.

As a Data Engineer, design, develop, and maintain data solutions, ensuring data quality and implementing ETL processes for data migration across systems.

Design, build, and maintain data pipelines and ETL processes, ensure data quality, and collaborate with cross-functional teams to deliver scalable data solutions. Optimize workflows, troubleshoot data issues, and become an SME in Power BI and related data tooling.

Design, build, and maintain data pipelines and ETL processes using Informatica MDM; ensure data quality, modeling, governance, and performance optimization while collaborating with cross-functional teams.

Design, develop, and maintain data pipelines and ETL processes using PySpark. Ensure data quality, optimize data workflows, troubleshoot distributed processing, collaborate with cross-functional teams, document data architecture, and mentor junior engineers while supporting scalable data integration and deployment across systems.

Design, build, and maintain scalable AWS-based data platform services and high-performance data pipelines. Provide technical leadership, establish data engineering best practices, and partner with cross-functional teams to deliver data integration, transformation, governance, and physical data models for healthcare solutions.

Design, build, and maintain scalable data pipelines and ETL processes. Ensure data quality, monitor and optimize pipelines, support real-time streaming with Apache Kafka, troubleshoot data flow issues, document workflows, collaborate with stakeholders, and mentor junior team members.

Design, build, and maintain scalable data pipelines and ETL processes on Azure/Databricks. Ensure data quality, optimize performance, manage CI/CD, troubleshoot workflows, lead architecture decisions, mentor juniors, and collaborate with data stakeholders to deliver reliable data solutions.

Design, develop, and maintain scalable data pipelines and ETL processes on Azure and Databricks. Ensure data quality, optimize performance, manage CI/CD for deployments, lead architecture decisions, mentor team members, and collaborate with stakeholders to deliver reliable data solutions.