Top Data Engineer Jobs in Gurgaon

Lead technology solution delivery for clients by managing projects, translating requirements, mentoring teams, and ensuring high-quality outcomes through collaboration and innovation.

As a Data Engineer, you will leverage data to drive business outcomes, develop data integration frameworks, and support data quality and lifecycle management.

As a Data Engineer, you'll design, develop, and maintain data solutions, create data pipelines, ensure data quality, and implement ETL processes. You'll collaborate with teams and contribute to the overall data strategy.

As a Data Engineer, design, develop, and maintain data solutions including pipelines and ETL processes while ensuring data quality and collaboration with teams.

As a Data Engineer, you will design, develop, and maintain data solutions, ensuring data quality, creating data pipelines, and implementing ETL processes.

The role involves building and supporting data pipelines on Azure, maintaining ADF pipelines, optimizing SQL queries, and implementing data loading strategies while contributing to Data Warehouse and Microsoft Fabric initiatives.

The Data Engineer will design, develop, and maintain scalable data pipelines, optimizing workflows and working with large datasets on GCP.

The Data Engineer designs, develops, and maintains data solutions, creates data pipelines, ensures data quality, and implements ETL processes.

The Graph Data Engineer builds graph-powered solutions for AI systems, enhancing decision-making through high-quality data products and improving user experience with data accessibility and reporting capabilities.

Develop ETL pipelines, manage data workflows, and write complex SQL queries. Requires expertise in cloud platforms and data warehousing.

Collaborate with Machine Learning engineers and Data scientists to design and develop large-scale data pipelines, troubleshoot system issues, and improve processes in an agile team.

The Data Engineer will design and maintain data pipelines, integrate data from various sources, optimize workflows, ensure data quality, and document processes.

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 will design and build scalable data pipelines on GCP, perform data ingestion and transformation, and collaborate with stakeholders to deliver data solutions.

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.

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.

The role involves building HR data solutions, utilizing Workday for reporting, and migrating data to Snowflake, while ensuring data privacy and quality.

As a Data Engineer, you'll optimize data pipelines and models using PySpark, SQL, and GCP. Responsibilities include processing large datasets and designing enterprise-scale data platforms.

As a Data Engineer, you will design and develop data pipelines, ensuring data quality and scalability. You'll collaborate with teams to meet business needs and mentor junior members.

The Data Engineer builds and maintains data lakes and warehousing solutions, writes ETL transformations, and manages infrastructure as code. They troubleshoot performance issues, collaborate with teams, and participate in cross-functional initiatives.

The Looker Data Engineer will develop Looker data models, optimize reporting solutions, use Looker APIs, and work with SQL and cloud platforms.

Design and build ETL pipelines using Apache Spark/PySpark, implement Iceberg table operations, and validate analytical schema. Requires strong data engineering experience and collaboration with stakeholders.

The Data Engineer is responsible for implementing business logic in the Data Warehouse, designing ETL pipelines, optimizing data loading processes, and collaborating with stakeholders to improve data architecture.

We are seeking Data Engineers to migrate dashboards from Hadoop to GCP, ensuring data consistency, accuracy, and collaborating with cross-functional teams.

Design and optimize SQL scripts, develop Java applications and APIs, lead collaboration sessions, and ensure solutions adhere to RDBMS principles.