Top Data Engineer Jobs in Gurgaon

Design, develop, and maintain high-performance ETL solutions using SSIS and T-SQL; integrate diverse data sources; use C# and Regex for transformations; monitor QA/UAT/Production ETL jobs; implement data quality and DevOps pipelines; collaborate with stakeholders and improve ETL best practices.

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.

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 develop data-driven solutions, automate pipelines, engage with the data engineering community, and support scalable data architecture while ensuring data security.

As a Data Engineer, you'll design, develop, and maintain data solutions, create data pipelines, ensure data quality, and implement ETL processes.

Design and build analytics solutions using Microsoft Fabric and PySpark, manage ETL workflows, and develop Power BI models. Requires hands-on experience in data engineering and SQL.

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

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.

The Data Engineer will manage revenue data pipelines, ensuring data integrity, and build a Snowflake-based foundation for analytics automation. Responsibilities include monitoring pipeline health and supporting analytics enablement for GTM teams.

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

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.

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.

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

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

The role involves data modeling, troubleshooting complex issues, optimizing storage architectures and mentoring junior engineers while working with GCP and Python.

The Snowflake Data Engineer will develop and manage large-scale data pipelines, collaborate with stakeholders, and optimize data engineering solutions using Snowflake.