Top Data Engineer Jobs in Delhi

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

The Data Engineer will enhance consulting capabilities using AI tools, support project teams with tech solutions, and foster independent problem-solving skills.

Develop and maintain scalable data pipelines in Azure and Microsoft Fabric, optimize data workflows, and apply scientific algorithms to climate model data.

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 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.

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 develops structured data sets and data models for analytics, manages ETL processes, collaborates with stakeholders, and ensures data integrity and quality.

The Senior Commvault Engineer will architect and maintain backup solutions, resolve complex issues, and lead upgrades, while mentoring junior engineers.

Design, build, and operationalize large-scale data solutions on Google Cloud Platform, optimizing data pipelines for performance and cost with tools like Python and SQL.

The Sr. Azure Data Engineer will develop and enhance Databricks pipelines, ensure data quality, and model healthcare data for analytics, collaborating closely with business stakeholders.

As a Data Engineer at Particle41, you will develop web applications, collaborate with teams, implement server-side logic, and ensure solution reliability through testing and debugging.

The role involves building and maintaining automated pipelines for data collection and cleaning from public sources, integrating scrapers with backend systems, and ensuring data accuracy and compliance with platform rules.

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

As a Data Engineer, you will design and maintain data infrastructure, build data pipelines, and collaborate on data requirements for analytics and reporting.

The Principal Software Engineer at Atlassian will design and optimize high-scale storage systems on AWS, mentor engineers, and improve storage solutions' performance and reliability.

The Principal Data Engineer will design and implement data architecture and pipelines, ensure data quality and security, mentor the team, and collaborate with various squads to drive impactful data solutions.

The Data Engineer II designs and implements data pipelines, manages ETL processes, and optimizes SQL queries while mentoring junior engineers and ensuring data integrity.

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 Data Engineer II designs, codes, and manages data pipelines, ensuring data quality and working with stakeholders to deliver effective data solutions, while mentoring junior engineers.

The Sr. AWS Data Engineer will design, implement, and manage AWS data solutions, collaborate with teams, and mentor junior engineers while ensuring data integrity and availability.

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

As a Junior Data Engineer, you'll design and optimize data pipelines, ensure data quality, collaborate with teams, and contribute to innovative data projects.

Develop and maintain data pipelines using Python and SQL. Use DBT for data transformation and work with data warehouses. Ensure compliance with data governance policies.

The Data Engineer designs, develops, and maintains data pipelines and infrastructure, ensuring data accuracy and accessibility while collaborating with data teams.

Design, implement, and maintain data pipelines using Elasticsearch and data warehousing solutions, integrate data sources, and ensure data accuracy while collaborating with cross-functional teams.