Data Engineer

Job Title: Data Engineer Experience – 4 to 5 years Location: PAN India Duration: Contract (6–12 months, extendable)

Job Summary: We are looking for a skilled Data Engineer with 4–5 years of experience to design, build, and maintain scalable data pipelines and data warehouse solutions. The ideal candidate should have strong hands-on experience with Azure data services, including Databricks and Data Factory, along with a solid understanding of modern data architecture.

Key Responsibilities: Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory Build and optimize data processing workflows using Azure Databricks Develop and manage data warehouse solutions (star/snowflake schema, data modeling) Integrate data from multiple sources (APIs, databases, flat files, etc.) Ensure data quality, integrity, and performance across pipelines Collaborate with data analysts, business teams, and stakeholders for requirements gathering Monitor and troubleshoot data workflows and production issues Implement best practices for data governance, security, and scalability

Required Skills & Qualifications: 4–5 years of experience in Data Engineering Strong hands-on experience with Azure Data Services Data Warehousing concepts and tools Proficiency in SQL and Python / PySpark Experience with data modeling and performance tuning Familiarity with Azure ecosystem (Azure Storage, Synapse, etc.) Understanding of ETL/ELT frameworks and best practices

Requirements added by the job poster • 4+ years of work experience with Azure Data Factory • 4+ years of work experience with Azure Databricks