Hiring Senior Data Engineer -ADF, Snowflake, PySpark at Coforge Ltd.

Job description

**We are Hiring Senior Data Engineer (ADF, Snowflake, PySpark) at Coforge Ltd.** **Company:** Coforge Ltd. **Job Location:** Greater Noida, Hyderabad & Pune Only. **Experience**: 4 to 6 Years Employment Type: Full-Time. **Share your CV:** **Gaurav.2.Kumar@coforge.com** **WhatsApp: 9667427662** **Join This WhatsApp Group for Regular and Quick Job Updates.** **Click On the Link:-** **https://chat.whatsapp.com/LW8Dnu6IZ54HzkZVMakCE7** **Job Summary:** We are looking for a highly skilled Senior Data Engineer (ADF, Snowflake, PySpark) with 6+ years of experience in building and managing ETL/ELT pipelines. The ideal candidate should have strong hands-on expertise in Snowflake, Azure Data Factory (ADF), and PySpark, along with solid SQL and Python skills. This role involves designing scalable data solutions, ensuring data governance, and delivering high-quality data pipelines. Experience in Pharma/Life Sciences domain is a plus. **Key Responsibilities:-** • Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory • Schedule, orchestrate, and monitor workflows, ensuring timely and reliable execution • Implement data governance standards, data quality checks, and best practices • Build and optimize data pipelines using PySpark for large-scale data processing • Write, optimize, and troubleshoot complex SQL queries for data transformation and analytics • Perform ELT transformations in Snowflake and enable efficient data sharing • Integrate Snowflake with ADF, PySpark, and BI/reporting tools • Collaborate with business stakeholders and data teams to understand requirements • Monitor pipeline performance, troubleshoot failures, and implement robust error handling mechanisms • Ensure data consistency, reliability, and performance across systems **Mandatory Skills:-** • 4+ years of experience in ETL/ELT development • 2+ years of hands-on experience with Snowflake • Strong expertise in Azure Data Factory (ADF) • Hands-on experience with PySpark for data engineering and transformations • Strong SQL skills for querying and data manipulation • Proficiency in Python for data processing and pipeline development • Experience in implementing data governance and data quality frameworks. **Preferred Skills:-** • Understanding of cloud data warehousing concepts • Knowledge of data modeling (Star/Snowflake schema) and architecture • Experience in Pharma / Life Sciences domain (good to have) • Exposure to Agile / Scrum methodologies. **Professional Experience:-** • 6+ years of experience in data engineering / ETL development roles • Experience working with large-scale and complex datasets • Proven ability to deliver high-quality data solutions in enterprise environments.