Showing 7,503 Senior Data Engineer Jobs in Gurgaon Gurugram

Roles and Responsibilities Design, develop, test, deploy, and maintain large-scale data processing pipelines using PySpark on AWS. Collaborate with cross-functi

Job Title: Data Engineer (PL/SQL, T-SQL, AWS Glue, ETL) Experience: 4-8 Years Location: Hybrid Job Description We are looking for a skilled Data Engineer with s

Join us as a Data Engineer - PySpark Developer at Barclays, where youll spearhead the evolution of our digital landscape, driving innovation and excellence. Thi

Experience: 4-8 Years We are looking for a Data Engineer with strong experience in PySpark and AWS to build and optimize scalable data pipelines and data proces

Total exp-6years Rel-6years location: pan india data engineer-,data bricks,and aws

We are seeking a Data Engineer with hands-on experience in Palantir Foundry, SQL, Python, PySpark, Spark, and Hadoop to design, develop, and optimize scalable data pipelines and analytics solutions. Key Responsibilities Design and develop scalable data pipelines using Palantir Foundry . Build data s

We are seeking a Data Engineer with hands-on experience in Palantir Foundry, SQL, Python, PySpark, Spark, and Hadoop to design, develop, and optimize scalable data pipelines and analytics solutions. Key Responsibilities Design and develop scalable data pipelines using Palantir Foundry . Build data s

We are seeking a Data Engineer with hands-on experience in Palantir Foundry, SQL, Python, PySpark, Spark, and Hadoop to design, develop, and optimize scalable data pipelines and analytics solutions. Key Responsibilities Design and develop scalable data pipelines using Palantir Foundry . Build data s

Hiring for Data Engineer - Kolkata, Pune, Mumbai, Bangalore Data Engineer Design and develop ETL processes based on functional and non-functional requirements in Databricks| python PySpark within Azure platform. Understand the full end to end development activities from design to go live for ETL dev

Data Engineer • Working experience on data pipeline, BigQuery, DataLake, working with large data modals & queries • Built and maintained Google BigQuery as the