Top Data Engineer Jobs in Bangalore

The Data Engineer will design and maintain ETL pipelines, optimize data models, ensure data quality, and transform HR data into actionable insights for workforce decisions.

The Data Engineer will build and maintain ETL/ELT pipelines, implement automated data quality checks, optimize data storage, and create interactive visualizations. They will manage CI/CD pipelines and deliver production-ready data solutions.

Exusia seeks a Snowflake Data Engineer to develop large-scale data pipelines and models, collaborate with stakeholders, and ensure data accuracy.

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

The Lead Data Engineer will oversee data engineering responsibilities using AWS technologies and manage data workflows and architectures.

The Data Engineer will design, build and maintain data pipelines, optimize performance, enforce data governance, and collaborate with teams to support model development.

The Data Engineer designs and implements scalable data processes, manages data pipelines, assists data scientists, and supports the organization's cloud strategy while leading junior engineers.

As a Senior Data Engineer, you will design and manage real-time and batch data pipelines, collaborating with various teams to enhance data analytics capabilities.

Lead the design and implementation of data pipelines and data architectures using AWS services. Oversee data engineering projects and collaborate with teams to optimize data processes.

Lead Data Engineer responsible for advanced AWS Data Engineering focusing on various tools and technologies, including Athena, Spark, DynamoDB, and more.

Responsible for designing and implementing data engineering processes, developing ETL solutions, managing metadata structures, and performing data profiling and analysis for data-driven outcomes.

The Lead Data Engineer designs and maintains scalable data pipelines for healthcare SaaS applications, ensuring data integrity and supporting AI-driven analytics. Responsibilities include data pipeline development, cloud platform deployment, and compliance with healthcare standards, while leading the team to deliver projects effectively.

The Principal Data Software Engineer will design and optimize a cloud-native data platform for AI and analytics, ensuring compliance and security in healthcare data processing. Responsibilities include architecting scalable data architectures, developing data pipelines, collaborating with teams, and mentoring engineers.

Design and optimize ETL/ELT pipelines using Azure technologies, develop complex SQL solutions, and streamline data lifecycle automation while ensuring production reliability and compliance.

The role involves designing and building data engineering solutions, developing data pipelines, ensuring data quality, and collaborating with teams to enhance data accessibility and decision making.

Design, develop, and operate data pipelines in Azure Databricks, ensure data quality for HR, Purchasing, and Finance, and implement robust data models and validations.

The IT engineer will design and develop scalable data pipelines in Azure Databricks, ensuring data quality and availability for HR, Purchasing, and Finance. Key tasks include implementing ingestion from various sources, developing modular code, and collaborating across teams to refine user stories and align with governance standards.

As a Tech Lead, you will govern data modeling and analytics performance, support engineering teams, ensure scalable integration, and maintain standards for the lakehouse architecture.

Design and maintain data ingestion pipelines, establish data quality frameworks, integrate various data sources, and collaborate with cross-functional teams.

The IT engineer will design and develop data pipelines in Azure Databricks, ensuring data availability and quality for Manufacturing & Engineering. Responsibilities include collaborative development, implementing complex data models, and applying software engineering practices.

The IT Engineer Tech Lead will govern data acquisition architecture, establish reusable interfaces, define standards, and support data engineering teams across multiple sources, ensuring quality integration and analytics.

Design and implement data ingestion pipelines, maintain metadata-driven services, ensure data quality and compliance, and collaborate with IT and business teams.

The IT engineer will design and develop data pipelines in Azure Databricks, ensuring data quality for Sales & Finance. Responsibilities include implementing data architectures, collaborating with stakeholders, and applying agile methodologies.

Design, implement, and maintain data ingestion pipelines; ensure data quality and compliance; collaborate with teams for structured data integration.

As a Senior Data Engineer, you'll design and implement data ingestion and transformation solutions for the Enterprise Data Lake, ensuring high-quality, scalable data pipelines while collaborating with cross-functional teams.