Top Data Engineer Jobs in Bangalore

As a Data Engineer, you will develop data solutions and manage data pipelines and models for analytical needs, collaborating with various stakeholders and utilizing big data tools and programming languages.

The Data Engineer will optimize the elluminate® platform for clinical data through coding, ETL processes, and deliver client-focused solutions while ensuring compliance with industry standards.

Design and operate enterprise data infrastructure, ensure data quality and compliance, build pipelines, and collaborate with teams to deliver trusted data products.

This role involves collecting, analyzing datasets, creating reports and dashboards, conducting statistical analysis, and ensuring data accuracy in a collaborative environment.

The Data Engineer is responsible for designing, implementing, and managing data infrastructure and analytical systems, mentoring junior engineers, and optimizing data processes using tools like Databricks and Azure.

As a Senior Data Engineer, you will lead data engineering initiatives, build data pipelines, resolve issues, and collaborate with teams to achieve strategic goals.

The Senior Software Developer will develop and support Qlik Sense applications, ensure best practices, and improve analytics processes while collaborating with clients and teams.

The Senior Data Engineer designs and maintains complex data systems for analysis and reporting, develops automated pipelines, and collaborates with teams to optimize data solutions.

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.

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.

The GCP Data Engineer designs and builds scalable data pipelines on Google Cloud Platform, optimizing performance and collaborating with stakeholders to support analytics and data processing.

Lead the maintenance and expansion of reporting platforms, develop data transformations in SQL, manage junior engineers, and ensure data quality on Google Cloud Platform.

As a Senior Analyst-Data Engineer, you will design, develop, and optimize data pipelines, ensure data quality and transform marketing data into insights.

Design and build the data architecture and platform, create data lakes/warehouses and ETL pipelines, integrate internal and external datasets, deliver data products for stakeholders, perform root-cause analysis and support analytics and reporting needs.

The Data Engineer will build the BI Platform, enhance architecture, support analytics teams with self-service tools, and ensure cloud consistency.

Design, develop, and maintain data solutions for data generation and processing. Create data pipelines, ensure data quality, and implement ETL processes.

As a Data Engineer, you will design, develop, and maintain data solutions, create data pipelines, ensure data quality, and implement ETL processes while collaborating with teams to meet data requirements.

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.

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

The Senior Azure Data Engineer will design, develop, and maintain data infrastructure and pipelines, ensuring data quality, integrity, and alignment with business objectives. Responsibilities include collaborating with teams and establishing best practices for data engineering.

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.

The Associate Graduate Data Engineer supports tasks in their specialization, collaborates with senior colleagues, and seeks learning opportunities, while performing administrative and technical duties.

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.

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

As a Data Engineer, you'll design, develop, and maintain data solutions and pipelines, ensuring data flows efficiently and accurately across systems.