Top Data Engineer Jobs in Gurgaon

Design and develop large-scale data systems and pipelines, ensuring data quality and performance while collaborating with multiple teams to provide analytical solutions.

As a VP Data Engineer, you will build resilient systems for global post-trade operations, focusing on data modeling, ELT/ETL pipelines, and real-time analytics using technologies like Snowflake and Kafka.

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

The role focuses on delivering firm-wide risk governance and control effectiveness by creating AI-driven solutions and building data pipelines while ensuring data quality and compliance.

Design and implement data engineering solutions on cloud platforms; translate business problems into technical designs; lead modules, mentor junior team members, validate architectures, manage deliverables, and support project delivery and client collaboration.

Work with client and internal teams to design and implement data engineering solutions. Lead modules, translate business problems into technical designs, mentor junior staff, validate architectures, apply best practices, and support project delivery including planning, testing, deployment, and operations.

The Data Engineer will build scalable data pipelines on GCP, work with Hive, Spark, and Python, and ensure high-quality data delivery. Responsibilities include collaboration with teams, troubleshooting issues, conducting code reviews, and engaging in Agile methodologies.

As a Data Engineer, you'll develop innovative data solutions, build scalable architectures, and automate data pipelines while collaborating with cross-functional teams.

As a Data Engineer at VP level, you'll create data-driven solutions, drive customer experiences, develop data pipelines, and deliver scalable architecture.

The Data Engineer will develop data solutions, maintain a scalable architecture, and collaborate with teams to enhance data usage and insights.

As a Data Engineer II, you will develop and manage cloud-based data platforms, enhance data solutions, and collaborate with teams to implement data-driven projects.

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 build and maintain data architecture, transform data, and collaborate with teams to optimize data solutions for customers.

Design and maintain data infrastructure, develop pipelines for data ingestion and quality, create data models, and optimize storage solutions.

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 develop end-to-end technical solutions, ensuring performance and scalability on cloud data platforms, while leveraging programming and data integration technologies.

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 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.

Exusia seeks a Snowflake Data Engineer to develop large-scale data pipelines and models, collaborate with stakeholders, and ensure data accuracy.

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.

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

The Big Data Engineer II is responsible for designing and maintaining data pipelines on cloud and on-premises, ensuring data quality and compliance, collaborating with stakeholders, and utilizing big data frameworks and cloud 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.

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.