Top Data Engineer Jobs in Bangalore

Lead architecture, design, development, and delivery of enterprise data platform components. Build and optimize ETL/ELT pipelines, data models, and warehouses (Snowflake). Mentor engineers, drive data governance, ensure performance, security, and scalability, and collaborate cross-functionally to adopt best practices and new tools.

No role-specific responsibilities provided in the posting. Typically, a Unit Manager - Data Governance leads the data governance function: defining and enforcing data policies, managing data quality and metadata, coordinating stakeholders, ensuring regulatory compliance, and supervising a team to implement governance processes.

As an Associate Data & GenAI Engineer, you will build reliable data pipelines and GenAI features, ensuring high-quality datasets through ETL processes and effective data engineering practices.

Lead development and implementation of AI-driven audit solutions using data analytics, enhancing risk management and continuous auditing programs.

Design, build, and operate high-scale batch and streaming data pipelines, aggregates, and dimensional models. Ensure data quality, observability, and performance; optimize costs; implement orchestration/CI-CD; and partner with backend, ML, and product teams to deliver analytics-ready datasets for prediction, BI, and measurement.

The Sr Data Engineer II is responsible for technical consulting, project management, SQL development, client support, and maintaining compliance with industry standards.

Design, develop, and maintain data solutions and ETL pipelines; ensure data quality and governance; apply Generative and Agentic AI to enterprise solutions; collaborate across teams, mentor juniors, and act as SME for Teradata BI-driven projects.

As a Data Engineer, design, develop, and maintain data solutions, creating data pipelines, ensuring data quality, and implementing ETL processes.

Design, develop, and maintain data solutions for data generation, collection, and processing. Create data pipelines and implement ETL processes.

As a Data Engineer, design and maintain data solutions by creating pipelines, ensuring data quality, and implementing ETL processes for effective data management.

As a Data Engineer, you will design, develop and maintain data solutions including pipelines, ensuring data quality and implementing ETL processes. You'll collaborate with various teams to meet data requirements and optimize data processing for analytics.

The Advanced Data Engineer will lead a support team, enhance Informatica Product 360, manage data integration, and guide stakeholders on data strategies. Responsibilities include coding, maintenance, and design of data solutions.

The Sr Advanced Data Engineer is responsible for architecting, building, and optimizing AI-ready data platforms and pipelines, ensuring scalability, governance, and performance to support analytics initiatives.

The Sr Advanced Data Engineer will architect and optimize large-scale data systems, ensuring data availability for AI and analytics while overseeing pipeline development and data governance.

The Sr Advanced Data Engineer designs and optimizes enterprise data architectures, builds ETL/ELT pipelines, ensures data quality, and provides mentorship, aligning data strategies with AI initiatives.

The Data Engineer II will design, implement, and manage data architecture and processes, ensuring data quality and compliance while collaborating on analytics projects.

As a Data Engineer II, you will design and implement data warehouse solutions primarily using Snowflake and other cloud platforms, ensuring efficient ETL processes and data analytics.

The Advanced Data Engineer is responsible for designing and developing data infrastructure, building data pipelines, ensuring data quality, and optimizing data storage for better analytics in organizational decision-making.

The GCP Data Engineer will design and optimize data pipelines using GCP services, ensuring data quality and scalability for analytics and ML workloads.

As a Data Engineer, you will design, develop, and maintain data solutions, create and optimize ETL pipelines, and ensure data quality across systems.

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

As a Data Engineer, design and maintain data processing solutions, create and optimize ETL pipelines, ensure data quality, and collaborate with teams to enhance data accessibility and usability.

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

The Data Engineer will design and maintain data solutions, create data pipelines, ensure data quality, and implement ETL processes.

Design and maintain data solutions, create data pipelines, ensure data quality, and implement ETL processes, focusing on AWS services.