Data Engineer

We are looking for a skilled Data Engineer to join our Data & Analytics team. In this role, you will design, develop, and optimize scalable data pipelines and architectures on Azure and Databricks, enabling data-driven decision-making across the organization. You will collaborate with cross-functional teams to deliver high-quality, reliable, and performant data solutions.

• Databricks & Azure Data Factory (ADF). Design, develop, and maintain data pipelines using • PySpark, Spark SQL, and Python. Build and optimize data models, ETL/ELT workflows, and data transformations using • SQL queries Write complex, performance-tuned • Databricks notebooks, jobs, clusters, and workflows Develop and manage • Delta Lake Implement • Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver actionable datasets. • data quality, lineage, and governance Ensure • resource utilization Monitor, troubleshoot, and optimize pipeline performance and • Participate in code reviews, technical documentation, and agile ceremonies. • cloud-native architectures. Support migration of legacy data systems to modern

Minimum 2 years of experience in data Engineer

Updated in DATA ENGINEER document Send your resume to : smita.bangera@mphasis.com

1st and 2nd round : Technical Interview 3rd Round : hr Round