Top Data Engineer Jobs in Bangalore

Lead the development of scalable data ingestion pipelines, improve data reliability, and mentor engineers, driving best practices in software engineering.

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.

Design, develop, and maintain data solutions, create data pipelines, ensure data quality, and implement ETL processes. Collaborate with teams to provide technical expertise.

Design, develop, and maintain data solutions and ETL pipelines using Cognite Data Fusion. Ensure data quality, data modeling, integration, and scalable, secure application architectures. Act as SME, lead technical decisions, and collaborate across teams to deliver application capabilities.

As a Data Engineer, you will design, develop, and maintain data solutions including data pipelines and ETL processes, ensuring data quality and accessibility for stakeholders.

Design, build, and maintain data pipelines and ETL processes using Databricks. Ensure data quality, collaborate with cross-functional teams, mentor junior engineers, make technical decisions, and continuously improve data processes and integrations.

Design, develop, and maintain data solutions and ETL pipelines. Ensure data quality, collaborate with cross-functional teams, provide technical leadership, mentor juniors, and improve data processes.

Design, develop, and maintain data pipelines and ETL processes using Databricks. Ensure data quality, collaborate with cross-functional teams, mentor juniors, and drive data architecture and integration solutions.

Design, develop, and maintain data solutions and pipelines. Implement ETL processes, ensure data quality, migrate and deploy data across systems, and collaborate with cross-functional teams while mentoring junior members.

Design, build, and maintain ETL pipelines and data solutions using Databricks. Ensure data quality, integrate data across systems, collaborate with cross-functional teams, mentor juniors, and drive technical decisions as an SME.

Design, develop, and maintain data solutions and ETL pipelines using Databricks. Ensure data quality, collaborate across teams, mentor juniors, and improve data processes to meet business needs.

Design, develop, and maintain data pipelines and ETL processes using Databricks. Ensure data quality, collaborate with cross-functional teams, mentor juniors, and provide SME-level decisions and solutions across teams.

Design, develop, and maintain data solutions and ETL pipelines using Databricks. Ensure data quality, collaborate across teams, mentor juniors, make technical decisions, and continuously improve data processes to meet business needs.

Design, develop, and maintain data solutions and ETL pipelines. Ensure data quality, implement data integration, collaborate with cross-functional teams, and mentor junior engineers while making team-level technical decisions.

Design, develop, and maintain ETL pipelines and data solutions using Databricks. Ensure data quality, integrate systems, collaborate with cross-functional teams, mentor juniors, and drive data process improvements.

Design, develop, and maintain data solutions and ETL pipelines; ensure data quality; collaborate across teams; mentor juniors; and implement data migration and integration on Databricks/Azure platforms.

Design, develop, and maintain data solutions and ETL pipelines using Databricks. Ensure data quality, collaborate with cross-functional teams, mentor juniors, and make technical decisions to improve data processing and integration across systems.

Design, develop, and maintain data solutions and ETL pipelines using Databricks. Ensure data quality, collaborate with cross-functional teams, mentor juniors, and drive data architecture and integration decisions.

Design, develop, and maintain data solutions and ETL pipelines using Databricks; ensure data quality and integration across systems; collaborate with cross-functional teams; act as an SME, make team decisions, mentor juniors, and continuously improve data processes and architecture.

Design, develop, and maintain data solutions and ETL pipelines, ensure data quality, migrate and deploy data across systems, collaborate with cross-functional teams, act as SME, lead and mentor junior members.

Design, develop, and maintain data solutions; create data pipelines, ensure data quality, and implement ETL processes for data management.