Top Data Engineer Jobs in Bangalore

The AWS Data Engineer will design and implement scalable data engineering solutions on AWS, build data pipelines, and ensure data governance and security, while collaborating with cross-functional teams.

As a Data Engineer, you will implement data pipelines and analytics to support decision-making using AWS technologies and Machine Learning.

As a Data Platform Engineer, assist with data platform design, collaborate with architects, and ensure system integration, enhancing overall data architecture.

Join Airbus as a Data Analyst to transform complex technical data into actionable insights using advanced analytics, machine learning, and AI technologies, while contributing to the development of intelligent systems.

The Data Platform Engineer will assist in designing data platforms, collaborate with architects, define data structures, and mentor junior staff.

As a Data Platform Engineer, you'll design and model data structures, ensuring alignment with business objectives and integration with various teams while mentoring junior staff.

As a Data Platform Engineer, you will design and model data structures, collaborate on integrations, and mentor the team while ensuring alignment with business objectives.

The Data Platform Engineer assists in blueprinting and designing data platforms, ensuring integration, managing MicroStrategy BI performance, and troubleshooting issues.

The Data Platform Engineer designs and manages data platforms, ensuring integration among systems, optimizing performance, and providing technical support.

As a Data Platform Engineer, you will design and model data structures, ensuring integration and performance alignment with business needs, while mentoring junior professionals.

The Data Platform Engineer designs data architecture, ensuring integration and performance. They lead teams, provide solutions, and mentor junior staff.

As a Data Platform Engineer, you will design and implement data solutions while collaborating with architects to ensure effective data integration across the organization. You'll facilitate team collaboration and enhance operational efficiency through advanced data visualization techniques.

The Data Platform Engineer will assist in designing data platforms, ensuring integration between systems, and collaborating on architecture decisions. Responsibilities include mentoring, facilitating workshops, and providing solutions across multiple teams.

The Data Platform Engineer designs and models the data architecture, ensures integration between systems, provides problem solutions, and mentors juniors.

Design and maintain scalable data pipelines, build models, and turn datasets into insights, collaborating with teams to influence business decisions.

Develop and manage data lakes and warehouses, optimize data pipelines, ensure data quality, and provide troubleshooting support.

This role focuses on developing reports using IBM Cognos Analytics, SQL, and working with business users to refine report specifications and troubleshoot issues.

The Senior Data Analytics Engineer will develop analytical tools, collaborate with manufacturing engineers, and ensure data-driven decision-making to enhance quality and yield.

As a Data Engineer I, you'll build modular tools for the Consumer Product & Innovation team, focusing on data engineering and software development to support Nike's objectives.

The Senior Data Engineer will build scalable data platforms on AWS, implement data pipelines for batch and real-time processing, and mentor team members. Responsibilities include optimizing performance, maintaining data quality, and collaborating with stakeholders.

As a Data Engineer I, you will design and develop data pipelines, optimize SQL queries, ensure data integrity, and collaborate with stakeholders to deliver data solutions.

The Lead Analytics Engineer designs data models, mentors teams, and enhances data accessibility while driving insights and analytics initiatives.

The Senior Engineer will lead Data Engineering projects, optimize data pipelines, ensure data accuracy, and develop analytics processes for business insights.

Design, develop, and maintain integration solutions ensuring data accuracy and security, while leading junior engineers and optimizing processes.

The role involves data integration, project management, and communication with clients in a SaaS environment, using Python for data manipulation.