Top Data Engineer Jobs in Gurgaon

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.

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.

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

The Data Engineer will optimize SQL queries, build ETL data pipelines, clean data, and support database design to prepare datasets for reporting and AI/ML applications.

The Data Engineer is responsible for implementing business logic in the Data Warehouse, designing ETL pipelines, optimizing data loading processes, and collaborating with stakeholders to improve data architecture.

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.

Design, build, and optimize scalable data pipelines on Azure using Databricks and Spark. Implement CI/CD, performance tuning, debugging, and collaborate with stakeholders to deliver production-grade data solutions.

Design, implement, and manage data infrastructure, build ETL/ELT pipelines, and collaborate with stakeholders to support analytics and BI initiatives.

The Data Engineer is responsible for developing ETL/ELT pipelines, managing data warehousing, processing data with Python, and collaborating with stakeholders to meet data needs.

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 on the data platform design, ensuring integration with systems and data models while mentoring team members and aligning with business objectives.

The Data Platform Engineer contributes to designing the data platform and ensures seamless integration among systems, collaborating with architects and supporting team members.

Lead the design and delivery of scalable data platforms in a fintech environment, ensuring data quality, architecture, and operational excellence while mentoring engineers and driving AI adoption in data systems.

Assist in designing and implementing scalable data processes, develop data pipelines, support ETL from multiple sources, and enable data-driven business solutions.

The Data Engineer will design, build, and maintain ETL/ELT pipelines, ensuring data quality, security, and compliance while collaborating across multiple teams.

Design and build data infrastructure and architecture, optimize data processes, implement ELT applications, and develop high-quality data pipelines for clients.

Lead data architecture and pipeline design, promote engineering best practices, mentor team members, implement ETL/streaming solutions (Airflow, dbt, Airbyte), ensure data governance and reliability, and collaborate with product, analytics, and engineering to deliver scalable data solutions.

The Senior Data Engineer will design and build data pipelines on Azure Databricks, ensuring data security and governance while collaborating with clients and vendors on projects.

The Senior Data Engineer will design and build scalable data platforms and pipelines, utilizing cloud technologies and leading data engineering practices. Responsibilities include maintaining ETL/ELT pipelines, collaborating with stakeholders, and ensuring data quality.

As a Senior Engineer for Strategic Data Solutions, you will manage data warehousing, reporting, and analytics for internal operations and external partners. Responsibilities include collaborating with business units, providing insights, and ensuring high-quality data reporting.