Top Data Engineer Jobs in Bangalore

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

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

The Data Engineer is responsible for designing, building, and maintaining data systems, developing data products, and managing data pipelines for analysis.

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 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 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.

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.

The role involves creating and optimizing data pipelines, developing semantic layers, and building data applications to enhance data accessibility and analytics. Requires extensive experience in Java and related technologies.

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.

As a Data Engineer, you will design and implement data platforms, manage data quality, develop ETL processes, and support business intelligence initiatives using Azure services and technologies.

Lead GCP AI Data Engineer/Architect responsible for designing and deploying AI solutions, managing data pipelines, and implementing MLOps practices.

As an SDE 2 in Analytics, you'll design and maintain data models, build ELT pipelines, and ensure data quality while supporting product teams with analytics solutions.

The Data Engineer will design, develop, and maintain data lakes and pipelines on AWS, integrating large data sources, and optimize performance while collaborating with data scientists.

The Principal Data Engineer will leverage technical expertise to develop innovative solutions in data engineering for HARMAN's projects in connected ecosystems.

The Data Engineer will design, build, and maintain large-scale data pipelines, manage ETL processes, and support AI/ML models using big data technologies.

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

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

The Senior Data Engineer designs and maintains data systems for treasury analytics, builds data pipelines, and collaborates with stakeholders to optimize data solutions.

The Data Engineer will leverage cloud platforms and data integration tools to manage and model data while participating in Agile delivery teams and collaborating within onshore and offshore models.

The Data Engineer will design and optimize data infrastructures, develop pipelines, ensure data quality, and collaborate on ML Ops initiatives.

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.

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 Data Engineer will build and maintain data pipelines, ensuring data quality for AI, machine learning, and data science applications. Responsibilities include data ingestion, processing, and collaboration for high-quality dataset delivery.