Top Data Engineer Jobs in Bangalore

The Senior Data Engineer will design and build data pipelines, implement testing practices, and collaborate with stakeholders to enhance player experiences through data insights.

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.

The Principal Data Engineer will lead the data engineering team, architecting solutions and driving complex data projects to enhance operational data quality and support business decisions.

Designs, builds, and operates scalable AWS-based batch and streaming data pipelines and platforms (Lakehouse and warehouse). Owns architecture, performance, security, and cost optimization; implements transformations (SQL/dbt, PySpark), Kafka ingestion, Airflow orchestration, and CI/CD/Terraform. Partners with product and platform teams, mentors engineers, and drives data modeling, schema evolution, and operational excellence.

Seeking a Senior Data Engineer to advance a modern data lakehouse. Responsibilities include modeling, data management, ETL processes, and mentoring.

As a Data Engineer, you will build and scale the data platform, manage data pipelines, and ensure reliable data access across the organization.

The Senior Data Engineer will design data architecture, collaborate with stakeholders, mentor junior engineers, and develop scalable ELT/ETL pipelines while ensuring data quality and system efficiency.

As a Senior Data Engineer at Atlassian, you will design data architectures, collaborate on business data requirements, and mentor junior engineers while leading initiatives to enhance data solutions and system efficiencies.

The role involves designing data architecture, mentoring engineers, collaborating on data requirements, and developing scalable data solutions and pipelines.

As a Senior Data Engineer, you will design and implement data architectures, mentor junior engineers, and develop scalable ETL/ELT pipelines, ensuring data quality and operational efficiency.

Designs and builds cloud data pipelines and modern data architecture to ingest, cleanse, normalize, and persist diverse and unstructured datasets. Implements streaming/event-driven solutions, works with relational and non-relational databases, and partners globally to enable enterprise reporting, analytics and data-driven products.

The AI Data Engineer will develop ETL pipelines for structured and unstructured data, ensuring data quality and integrity for AI initiatives, and collaborate on automation solutions.

The Senior Technical Consultant will manage complex data projects, build data pipelines, integrate systems, support deployments, and mentor junior staff.

The Lead Data Engineer will design, optimize cloud-based data pipelines, implement data models, ensure data quality, collaborate across teams, and build automated ETL/ELT workflows.

The Data Engineer III role involves designing and maintaining data pipelines, optimizing SQL queries, managing data workflows, and communicating with stakeholders. Responsibilities include leveraging cloud technologies and collaborating on reporting solutions while identifying opportunities for innovation.

As a Senior Data Engineer at NXP, you will design and maintain ETL pipelines, ensure data quality, optimize cloud-based data solutions, and collaborate with R&D teams to enhance data analytics capabilities.

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

The Data Engineer 2 at JLL will build data solutions, develop data pipelines, and manage diverse datasets while collaborating across teams.

Lead the design and development of scalable data architecture and ETL/ELT pipelines, ensuring AI readiness and high-performance analytics across products.

The Data Engineer designs, develops, and maintains data solutions, focusing on ETL processes, data quality, and collaboration with teams to support data needs.

Design and maintain data solutions, create data pipelines, ensure data quality, and implement ETL processes for large-scale data processing.

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

As a Data Engineer, you will build and optimize scalable data architectures, conduct data extractions, and implement data-driven solutions to enhance customer experience while collaborating with technology teams.

The Sr. Data Engineer will design, build, and maintain scalable data pipelines, optimize processes, and ensure data integration using GCP and various data engineering tools.

As a Lead Data Engineer at Capital One, you will design and implement data solutions, collaborate with Agile teams, and leverage cloud technologies to drive transformation and enhance customer experience.