Top Data Engineer Jobs in Bangalore

The Data Engineer will optimize core data infrastructure for renewal and churn analytics, develop data pipelines, and collaborate with cross-functional teams to support business growth and retention strategies.

As a Data Engineer III at JPMorgan Chase, you will design and implement data pipelines, optimize data systems, and ensure the reliability and security of data solutions for various banking functions.

The Data Engineer II provides technical consulting and support for the elluminate platform, including SQL development, project management, and client training.

As a Data Engineer II, you will design and maintain data solutions, optimize data workflows, implement ETL processes, and ensure data integrity in a collaborative team environment.

The Data Engineer will design, build, and maintain data systems, develop data products, and manage data pipelines to improve data accessibility and analytics.

As a Business Intelligence Data Engineer, you'll develop scalable data architectures and models, manage data pipelines, and enhance analytics using AI tools.

As a Data Engineer, you will build data pipelines, design data models, and deploy Data Ops, collaborating with multiple teams to enhance product offerings.

This role involves designing, building, and maintaining data systems for analysis and reporting, developing data products, and improving data processing capabilities.

As a Data Engineer at Celonis, you will own the refinement of data models and transformations for business processes while ensuring quality and documentation. You will collaborate with cross-functional teams to drive the adoption of solutions on the Celonis platform.

The HR Systems & Analytics Analyst drives data-driven decision-making in HR, focusing on data management, analytics, and process optimization.

As a Senior Lead Clinical Data Science Programmer, you'll lead data programming activities, develop data pipelines, ensure data integrity, and leverage statistical analysis for clinical trials.

The role involves designing and developing scalable data platforms and pipelines, collaborating with data teams, and ensuring data quality while mentoring junior engineers.

Join the PnR team as a Data Engineer responsible for building data pipelines, feature engineering, analytics dashboards, and ensuring data quality.

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

As a Data Engineer, you will deliver data engineering solutions, enhance internal processes, utilize functional programming, and collaborate with teams to ensure customer success in a fast-paced Agile environment.

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

The Senior IT Data Engineer leads the design of complex data pipelines, ensuring data security and optimizing cloud costs while implementing data governance and visualization strategies.

Join as a Data Engineer to manage end-to-end data workflows, focusing on SQL, Python or Scala, and Azure for scalable data solutions.

The AWS Data Engineer will work on designing and building cloud-based solutions, utilizing AWS services, and integrating systems for clients. Requires experience with various AWS tools and Java development.

As a Data Engineer Intern, you will design and implement data pipelines, enhance data platform components, and collaborate with teams to meet data requirements.

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

The Sr Data Engineer I designs and develops SQL code, manages projects, provides technical support, and oversees clinical data services.

Looking for a Data Engineer with 6+ years of experience to design and optimize data pipelines, working primarily with Java and Python, ensuring effective data management in the Aerospace domain.

The Azure Data Engineer role requires developing data engineering solutions using Azure technologies. Responsibilities include implementing data pipelines, performing data analysis, and collaborating with stakeholders on data-driven projects.

The Clinical Data Engineer designs and implements data pipeline architectures, supervises clinical data integration, and collaborates with cross-functional teams, ensuring data-driven decision-making in life sciences.