Top Data Engineer Jobs in Delhi

The AWS Data Engineer will develop and maintain data pipelines, implement ETL jobs, and support data analytics platforms on AWS while ensuring best practices for security and performance.

The Data Engineer role involves designing and maintaining data pipelines, ensuring data quality, integrating data sources, and collaborating across teams to enhance BitGo's data infrastructure.

As a Data Engineer, you'll develop data pipelines, automate processes, and collaborate with teams to enhance data management and analytics for national security. You'll analyze raw data, manage data platforms, and engage with clients.

As a Data Platform Engineer, you assist with the data platform blueprint, collaborate with architects, and ensure system integration, while enhancing data architecture strategies.

The Python Data Engineer is responsible for developing Python applications, designing ETL pipelines, integrating APIs, and managing data solutions to enable data-driven decision making.

The Data Engineer will focus on frontend event tracking and analytics reporting, manage data pipelines, and ensure data reliability and quality.

As a Senior Software Engineer on the Data Platform team, you'll design and build foundational data services, maintain data pipelines, and ensure security and observability across data systems.

Design, develop, and maintain Big Data solutions for Disability & Absence products. Collaborate with teams to improve existing solutions and create automation scripts.

Join an AI-driven research project as a Frontend Developer, designing and building user-friendly web applications using modern JavaScript frameworks and strong UI/UX principles.

As a Senior Python Engineer at Tide, you'll design and implement backend services, integrate ML models, and collaborate with teams for effective project execution.

As a Lead Data Engineer, you will design and implement data pipelines, mentor junior engineers, and troubleshoot technical issues using Snowflake, dbt, and other data technologies.

The Data Engineer will design, build, and maintain scalable data pipelines using Databricks, integrating data into systems and ensuring data quality and performance while collaborating with stakeholders.

The Data Engineer will design and maintain data pipelines, optimize data warehousing, and ensure data quality and governance while collaborating with cross-functional teams.

As a Data Engineer at InfyStrat, you'll design and maintain data architecture, ensuring data accessibility and reliability while developing data pipelines. You'll collaborate with teams to create scalable data solutions for business intelligence.

The Data Engineer will design, build, and maintain data pipelines for Data Warehouses, utilizing AWS, GCP, and SQL, while ensuring data quality and implementing CI/CD best practices.

The Software Engineer will manage data collection for model training, operate the cloud infrastructure, and collaborate with the AI team on dataset roadmap development.

Lead the data engineering strategy at XO Health, overseeing a team, implementing scalable data solutions, and developing advanced analytics models for healthcare data optimization.

Design and maintain scalable data pipelines, integrate and optimize data workflows, ensure data quality, and support advanced analytics initiatives.

As a Product Engineer, you will ensure quality and usability of geospatial AI tools, design test plans, validate software, and document technical processes.

The Senior Data Engineer designs, builds, and optimizes data pipelines, utilizing Python, Azure services, and big data frameworks, collaborating with teams to maintain sprint goals.

Design and optimize data models and pipelines within Snowflake for AI applications, ensuring data quality and efficient processing.

The Senior Data Engineer will develop data pipelines for healthcare data, ensuring quality and reliability. Responsibilities include data ingestion, transformation, and collaboration with stakeholders.

As a Senior Data Engineer, you will manage the ETL lifecycle, build batch pipelines, transform data using SQL and Python, and ensure data quality and performance for analytics.

The Senior Data Engineer will develop and maintain data pipelines, manage ingestion, and enforce data quality while collaborating with architects and stakeholders in a healthcare context.

As a Data Engineer, you will build scalable ETL/ELT pipelines, optimize data structures, and develop impactful Power BI solutions for stakeholders.