Top Data Engineer Jobs in Bengaluru

The Senior Data Engineer - II will design data pipelines, optimize ETL workflows, manage databases, and support Power BI reporting for business decisions.

Design, build, and optimize scalable data pipelines and models using Spark, Kafka, Airflow, dbt, and SQL across GCP and AWS. Ingest and normalize marketing and analytics data, ensure data quality and governance, support analytics and reporting, and collaborate with cross-functional global teams.

Design, operate, and secure scalable batch and streaming data pipelines and platforms. Own ingestion, transformation, serving, data quality, and access controls. Partner with product, risk, compliance, and InfoSec to ensure production reliability, correctness, and audit readiness for financial data.

Build, operate, and scale ingestion pipelines for marketing data (ad platforms, ecommerce, analytics). Normalize and transform data into shared schemas, ensure multi-tenant reliability, observability, and security, and partner with AI/data-science teams to expose clean data for agents.

The Test Data Management Engineer will design, implement, and manage test data solutions for financial applications while ensuring compliance with data privacy regulations. Responsibilities include data analysis, provisioning, and optimizing TDM processes, collaborating with various stakeholders, and enhancing automation workflows.

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.