Top Data Engineer Jobs in Delhi

No role-specific responsibilities provided in the posting. Typically, a Unit Manager - Data Governance leads the data governance function: defining and enforcing data policies, managing data quality and metadata, coordinating stakeholders, ensuring regulatory compliance, and supervising a team to implement governance processes.

As a Data Engineer, you will work with GCP technologies, managing big data, utilizing ETL/ELT processes, and collaborating across teams while advancing in your career.

The Data Engineer will work on GCP services and handle big data through ETL processes, employing strong problem-solving skills and analytical abilities.

Design, build, and operate scalable ETL/ELT pipelines using PySpark and AWS data services. Orchestrate workflows with Apache Airflow, implement AWS Glue jobs and Data Catalog, manage Lake Formation permissions, publish datasets for BI, and deliver QuickSight visualizations while ensuring data quality and performance.

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.

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.

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

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.

The IT Data Engineer will develop and optimize ETL/ELT workflows, implement Lakehouse architecture, integrate Azure services, and oversee data governance practices, while supporting CI/CD and collaborating with stakeholders.

As a Data Engineer, you will design and maintain data pipelines, enhance blockchain reporting, and ensure data quality while integrating external data sources and working with various teams.

Lead development and maintenance of Big Data solutions for Disability & Absence products, ensuring high-quality, efficient, and scalable applications.

The Google Cloud Data Engineer will design and implement data pipelines using Google Cloud technologies and collaborate with analysts to ensure data quality and governance.

The role involves developing a cloud-based logistics analytics platform, implementing business logic in the data warehouse, designing ETL pipelines, optimizing data processes, and collaborating with stakeholders.

Design and deliver end-to-end cloud data solutions, lead discovery and technical design, build and optimize scalable ETL/ELT and real-time pipelines, implement CI/CD and IaC, develop observability and data quality, perform performance tuning and root-cause analysis, and advise customers while contributing to automation and thought leadership.

The Data Engineer will build and maintain ETL/ELT pipelines, implement automated data quality checks, optimize data storage, and create interactive visualizations. They will manage CI/CD pipelines and deliver production-ready data solutions.

The Data Engineer will design and maintain ETL pipelines, optimize data models, ensure data quality, and transform HR data into actionable insights for workforce decisions.

The Data Engineer designs and implements scalable data processes, manages data pipelines, assists data scientists, and supports the organization's cloud strategy while leading junior engineers.

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

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.

As a Data Engineer, you will build and optimize data pipelines, collaborate with teams to deliver data solutions, and ensure data quality in cloud environments.

The Data Engineer / Analytics Engineer will build scalable data models and pipelines using dbt and Snowflake while collaborating with stakeholders and engineers.

Join DEME's Data & Analytics Office as a Data Engineer to transform data into high-quality datasets, maintain data pipelines, and support insights for decision-making.

Design and maintain data pipelines, optimize performance, collaborate with teams, ensure data quality, and implement governance best practices.

The Senior AI Data Engineer is responsible for designing and implementing AI solutions, managing databases, and collaborating with teams to integrate these solutions into the Teamified platform.