Top Data Engineer Jobs in Gurgaon

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 2 will develop and maintain data pipelines, support analytics, build data models, and enhance data quality for strategic insights.

Join BlackRock's Global Investment Operations Data Engineering team. Responsibilities include building data pipelines, automation, and dashboard creation using advanced technologies.

The Data Engineer will build data pipelines, optimize data architecture, and develop data-driven solutions while leading teams and advocating for product changes.

The Data Engineer will design and build scalable data architectures, develop ETL pipelines, ensure data quality, and provide insights through advanced data solutions and effective communication with stakeholders.

As a Business Intelligence Data Engineer, you'll develop scalable data architectures and models, manage data pipelines, and enhance analytics using AI tools.

The Data Engineer will analyze HR data, build data pipelines from systems like Workday and Greenhouse, and support analytics for business decisions.

The Data Engineer will build and maintain data pipelines, ensure data quality, and work with various teams in an Agile environment.

As a Data Engineer, you will implement data pipelines and analytics to support decision-making using AWS technologies and Machine Learning.

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.

As a Data Engineer, you'll design and maintain ETL pipelines, integrate data, ensure data quality, and collaborate in an Agile environment.

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

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

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.

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.

Lead the data engineering team to build scalable data pipelines, design data architecture, and collaborate with cross-functional partners. Ensure data quality and drive architectural vision aligned with business needs.

The Data Engineer is responsible for designing and maintaining data pipelines, ensuring data quality, and integrating data for analysis using advanced technologies such as Snowflake and AWS.

The Freelance Data Engineer will analyze data, design databases, manage data operations, and collaborate on data-driven projects to optimize data infrastructure.

As a Data Engineer, you will design, build, and maintain scalable data platforms and pipelines, optimizing workflows and ensuring security.

The Data Platform Engineer collaborates with architects to develop data models, drive client discussions, optimize data architectures, and support data governance.

Assist with the design of the data platform, ensuring integration between systems and data models. Collaborate with architects and enhance data architecture strategy.

As a Data Platform Engineer, you will design data models based on business requirements, collaborate with architects, and deliver quality data modeling outputs.

As a Data Platform Engineer, you will design and implement data platform architectures, focusing on knowledge modeling and graph database management while collaborating with architects to ensure cohesive data integration.

As a Power Platform Engineer, you will design and implement analytics solutions using Microsoft technologies, focusing on data visualization and collaboration with global teams.

The Senior Data Engineer will develop, deploy, and maintain data products in a cloud environment, ensuring data quality and supporting analytics for internal stakeholders.