Top Data Engineer Jobs in Gurgaon

Design, build, and operate large-scale enterprise data platforms leveraging AI/ML to optimize data pipelines and support analytics and GenAI workloads.

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

Lead the maintenance and expansion of reporting platforms, develop data transformations in SQL, manage junior engineers, and ensure data quality on Google Cloud Platform.

As a Senior Analyst-Data Engineer, you will design, develop, and optimize data pipelines, ensure data quality and transform marketing data into insights.

As a Data Engineer, you will design and maintain data solutions, ensuring data quality and implementing ETL processes while collaborating across teams to enhance data accessibility.

The Data Engineer will manage product lifecycle projects by ensuring data accuracy across systems and improve data processes throughout the company.

The Data Engineer will manage and maintain data integrity across systems, support product lifecycle projects, ensure compliance with standards, and drive improvements in data processes.

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

The Senior Azure Data Engineer will design, develop, and maintain data infrastructure and pipelines, ensuring data quality, integrity, and alignment with business objectives. Responsibilities include collaborating with teams and establishing best practices for data engineering.

As a Data Engineer III, you will design and develop scalable cloud-native solutions, build data pipelines for LLM-based AI systems, and mentor junior developers.

The Data Engineer will develop data-driven solutions, manage data pipelines, and ensure scalability while addressing customer needs and business goals.

The Data Engineer will develop data pipelines and workflows, manage storage solutions, and ensure data quality for the AI platform at TaskUs.

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

The role involves developing and maintaining data pipelines, ensuring data quality, and collaborating on technical documentation and team 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 and develops data pipelines for storage and processing, optimizes data integration, and collaborates with analysts on data models and KPIs, while leveraging cloud and AI technologies.

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.

The role involves designing and building data infrastructure, developing ETL/ELT applications, collaborating with teams, and improving engineering processes for analytics and AI capabilities.

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.

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.