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 GEN BI Engineer will design and deliver innovative BI solutions, collaborate with stakeholders, and build scalable systems using data for strategic decisions.

Develop robust data pipelines, optimize performance, and troubleshoot data issues, utilizing technologies like Spark, SQL, and Hadoop.

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

The Data Engineer will develop data-driven solutions, manage data pipelines, and support transformation to enhance customer experiences and data security.

As a Data Engineer, you will design, develop, and maintain data solutions to facilitate data generation, collection, and processing. Responsibilities include creating data pipelines, ensuring data quality, and implementing ETL processes while collaborating with teams to define and enhance data usability.

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.

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

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

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

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

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

The Azure Data Engineer role requires developing data engineering solutions using Azure technologies. Responsibilities include implementing data pipelines, performing data analysis, and collaborating with stakeholders on data-driven projects.

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 II will manage and support cloud-based data platforms, ensuring stable operations and collaborating with teams for data ingestion and analytics.

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

Join the Enterprise Data Platform team to design, build, and optimize scalable data pipelines using Python, Airflow, DBT, and Snowflake focused on investment and risk analytics.

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

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

As a Data Engineer, you'll build and monitor large-scale data pipelines, develop the DBT setup for data transformation and solve customer problems using your SQL skills.

The Data ETL Engineer will develop ETL processes using AWS Glue, manage data cataloging, design data models, and ensure data quality.

The role involves designing, developing, and maintaining large scale data engineering solutions while collaborating with stakeholders on data governance and analytics.

Design and manage data pipelines and architectures using cloud platforms. Collaborate with stakeholders to ensure data security and compliance, optimizing workflows for performance.