Top Data Engineer Jobs in Delhi

As a Data Engineer, you will create data pipelines, ensure data quality, develop data governance, and coach junior engineers while collaborating with product managers and business teams.

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

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.

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.

As a Senior Data Engineer, you will monitor jobs, troubleshoot issues, support stakeholders, and develop solutions using AWS 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.

As a Data Engineer, you will develop Databricks pipelines, ensure data quality, create new datasets, and support healthcare data integration efforts.

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

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.

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.

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 Data Warehouse Operations Senior Engineer will monitor, maintain, and optimize the enterprise data warehouse, ensuring stability and performance of ETL, reporting, and cloud infrastructure. Responsibilities include troubleshooting, compliance, incident management, and system performance monitoring.

Lead the monitoring, maintenance, and optimization of the enterprise data warehouse, ensuring ETL performance and compliance with SOX standards. Collaborate with stakeholders to resolve issues and perform deep-dive analyses for quality improvements.

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

Assist in building and maintaining data pipelines, support ETL processes, perform data cleaning and validation, collaborate on projects, and learn best practices.

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.

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

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.

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

Design, build, and optimize data pipelines and architectures. Collaborate with teams to ensure data quality, performance, and governance.