Top Data Engineer Jobs in Bangalore

The role involves database architecture, ETL development, managing data quality, and writing complex SQL queries in Snowflake while ensuring compliance with company policies.

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 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.

As a Senior Data Engineer II, you will lead the design and implementation of data solutions, manage large-scale data pipelines, and mentor junior engineers, ensuring data quality and collaboration across teams.

The Sr. Data Engineer will design, build, and maintain scalable data pipelines, optimize processes, and ensure data integration using GCP and various data engineering tools.

As a Lead Data Engineer, you will design and implement data architectures, manage ETL/ELT pipelines, and optimize SQL queries to ensure efficient data integration and analytics across the Azure ecosystem.

As a Data Engineer, you'll develop and maintain scalable data pipelines, utilize Azure technologies, and ensure data quality while collaborating with cross-functional teams.

As a BI Architect, you'll design and maintain BI solutions, collaborate with cross-functional teams, and ensure data integrity while mentoring junior members and leading continuous improvement efforts.

As a Data Engineer III, you will design and develop scalable cloud-native solutions, build data pipelines for LLM-based AI systems, and mentor junior developers.

As a Data Engineer II, you'll design and maintain data pipelines, collaborate with cross-functional teams, and ensure data quality and compliance.

The Data Strategist designs and optimizes data pipelines, develops data building tools, ensures data quality, collaborates on data needs, and stays updated on best practices.

Design, develop, and maintain scalable data pipelines and ETL processes using Databricks and Azure services. Ensure data quality, collaborate cross-functionally, lead and mentor team members, and provide SME-level solutions for data integration, modeling, and deployment.

The Data Engineer will design, develop, and maintain data solutions, including data pipelines and ETL processes, ensuring data quality while collaborating with cross-functional teams.

The Data Engineer designs, develops, and maintains data solutions, creates data pipelines, ensures data quality, and implements ETL processes to migrate data across systems.

As a Data Engineer, you will design, develop, and maintain data solutions, create data pipelines, ensure data quality, and implement ETL processes for efficient data migration and deployment across systems.

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 and ETL pipelines on Azure/Databricks. Ensure data quality, model data, support data governance, troubleshoot issues, lead and mentor team members, and collaborate with cross-functional teams to deliver production data solutions.

Design, develop and maintain data solutions, create data pipelines, ensure quality and implement ETL processes for cross-system data migration.

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

Design, develop, and maintain data solutions, create data pipelines, ensure data quality, and implement ETL processes across systems.

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

As a Data Engineer, design and maintain data solutions, create pipelines, ensure quality, and implement ETL processes for data deployment.

Design, develop, and maintain data solutions, create data pipelines, and implement ETL processes to ensure data quality and scalability.

As a Data Engineer, you will develop a scalable Data Lake-house, manage complex data ingestion, and optimize query engines to facilitate real-time data processing and analytics.

The Data Engineer will develop data-driven solutions, manage data pipelines, and ensure data quality, focusing on customer value and automation.