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.

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

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.

Design, build, and optimize warehouse-first data pipelines and models using BigQuery and dbt; develop Looker dashboards and semantic layers; integrate eCommerce and 3PL sources; implement data quality, monitoring, and AI-assisted automation; collaborate with analytics, marketing, and product teams; troubleshoot discrepancies and recommend architectural improvements.

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 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.

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

As a Senior Data Engineer, you will manage the ETL lifecycle, build batch pipelines, transform data using SQL and Python, and ensure data quality and performance for analytics.

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.

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.

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