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.

Design, develop, and maintain high-performance ETL solutions using SSIS and T-SQL; integrate diverse data sources; use C# and Regex for transformations; monitor QA/UAT/Production ETL jobs; implement data quality and DevOps pipelines; collaborate with stakeholders and improve ETL best practices.

Design, build, and operate scalable ETL/ELT pipelines using PySpark and AWS data services. Orchestrate workflows with Apache Airflow, implement AWS Glue jobs and Data Catalog, manage Lake Formation permissions, publish datasets for BI, and deliver QuickSight visualizations while ensuring data quality and performance.

Design, build, and maintain ETL data pipelines using PySpark; ensure data quality and governance; collaborate with teams to translate requirements; optimize pipelines for performance and reliability; support data migration and storage on cloud platforms.

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

Design, develop, and maintain data solutions including data pipelines and ETL processes; ensure data quality; collaborate with cross-functional teams; monitor and optimize pipeline performance and reliability.

Design, develop, and maintain data solutions and ETL pipelines. Ensure data quality, migrate and deploy data across systems, monitor and optimize pipeline performance, collaborate with cross-functional teams, and act as an SME on data engineering topics.

Design, build, and maintain ETL data pipelines using PySpark. Ensure data quality, optimize pipeline performance, collaborate with cross-functional teams, and act as an SME for data modeling and warehousing.

Design, build, and maintain data pipelines and ETL processes using Microsoft Power BI. Ensure data quality, model databases, and support data warehousing and visualization to meet cross-functional needs.

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

The Analytics Data Developer will implement TSQL stored procedures, tune SQL scripts, determine data transformations, and support stakeholders for consistency in data management.

As a Data Engineer, you will design, develop, and maintain data solutions to facilitate data generation, collection, and processing. Responsibilities include creating data pipelines, ensuring data quality, and implementing ETL processes while collaborating with teams to define and enhance data usability.

The Data Engineer will build and maintain data pipelines, develop ELT frameworks, support data modeling for analytics, and collaborate with teams on reporting solutions.

As a Data Engineer, you will develop data solutions, implement ingestion and transformation pipelines, and effectively communicate with stakeholders.

The Data Engineer will design, build, and maintain data pipelines, ensuring data transformation and delivery while collaborating with BI teams on dashboard support.

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.

As a Data Engineer, you'll develop and maintain data pipelines, collaborate with teams to deliver solutions, optimize performance, and mentor others in the field.

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.

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

Design, build, and maintain scalable AWS-based data pipelines and ETL processes. Develop data solutions using PySpark/Python, SQL, Redshift, Glue, Athena, Airflow, and Informatica PowerCenter. Ensure data quality, optimize databases, and collaborate with cross-functional teams.

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

The Data Engineer will implement ETL processes, develop data pipelines, optimize T-SQL queries, manage data interfaces, and ensure platform stability.

This role focuses on maintaining data quality standards in open-source software intelligence, resolving software data quality issues, and collaborating across teams to ensure accurate vulnerability intelligence.

The Senior Data Analyst will ensure data accuracy and resolve quality issues while collaborating across teams to enhance the open-source knowledge base.

The role involves ensuring data quality in software security through research and analysis, resolving data issues, and collaborating with teams.