Top Data Engineer Jobs in Bengaluru

As a Data Engineer, you will design and build reporting platforms, develop data pipelines, and work with various data technologies in a collaborative engineering team.

Design, implement, and maintain data pipelines using Elasticsearch and data warehousing solutions, integrate data sources, and ensure data accuracy while collaborating with cross-functional teams.

The role involves managing data pipelines for AI and quantitative research, focusing on L3 market data architecture and integrity, API development, and collaboration with researchers.

The Data Engineer will design and implement scalable data pipelines in Azure, collaborate with DevOps for CI/CD, and ensure data quality.

The Data Engineer II architect modern data infrastructure for the Customer Success team, managing data pipelines, ensuring data quality, and collaborating across teams to optimize data usage and governance.

You will own critical data pipelines, design data models, build ingestion pipelines, ensure data correctness, collaborate with teams, and improve metrics.

Design, build, and maintain scalable data pipelines and infrastructure while optimizing data systems. Collaborate with teams to ensure data reliability and compliance, and document internal standards.

As a Data Engineer, you'll optimize data workflows, design robust data solutions, and collaborate with teams to support data-driven initiatives.

The AWS Data Engineer will design and implement data pipelines using AWS services, develop ETL processes, and optimize data storage solutions.

The Data Engineer / Analytics Engineer will build scalable data models and pipelines using dbt and Snowflake while collaborating with stakeholders and engineers.

As a Data Engineer, you'll build and monitor large-scale data pipelines, develop the DBT setup for data transformation and solve customer problems using your SQL skills.

Design, build, and optimize scalable batch and streaming data systems; ensure data quality, observability, and governance; integrate metadata and lineage; troubleshoot production issues; collaborate across teams and mentor junior engineers.

Zinier seeks a hands-on Senior Data Engineer to design and build a medallion data architecture on AWS, focusing on data governance, ETL pipelines, and AI/ML readiness while collaborating across teams.

Develop and scale data management systems for AutoML and forecasting platforms, ensuring data reliability and implementing SLAs across pipelines.

Design, build, and maintain scalable batch and real-time data pipelines on Azure using Kafka, Spark, Databricks and ADF. Optimize Snowflake models and SQL, process structured and semi-structured data, ensure data quality, performance, and collaborate with cross-functional teams.

Design, build, and optimize scalable ELT/ETL pipelines on Azure using ADF and Databricks, integrate data into Snowflake, implement Data Vault 2.0 modelling, ensure data quality and performance, and collaborate with stakeholders and analytics teams to maintain production workflows.

The Senior Data Engineer will design, build, and maintain scalable data processing systems, optimizing data pipelines, and collaborating on data architecture.

The Senior Data Engineer will build and optimize data pipelines in Azure Databricks, migrate existing pipelines from Azure Synapse, and design scalable data models to support a financial services client's data platform modernization.