About the Role
<h2>Data Engineer ? Snowflake | SQL | Python | Spark</h2><p>We are seeking an experienced Data Engineer to design, develop, and maintain scalable data pipelines for large datasets. The ideal candidate will have 4?5 years of relevant Data Engineering experience and strong skills in SQL, Python, Snowflake, and Apache Spark.</p><h3>Key Responsibilities</h3><ul><li>Design, develop, and maintain scalable data pipelines for large datasets.</li><li>Build and optimize ETL/ELT workflows using modern data engineering practices.</li><li>Develop data transformation logic using SQL and Python.</li><li>Work with Snowflake data warehouse for data ingestion, transformation, and optimization.</li><li>Process large-scale datasets using Apache Spark.</li><li>Design and implement efficient data models for analytics and reporting.</li><li>Optimize query performance, storage, and data processing.</li><li>Integrate data from multiple source systems into enterprise data platforms.</li><li>Collaborate with analytics and business teams to deliver high-quality datasets.</li><li>Work with IQVIA healthcare datasets, preferably non-US commercial data.</li></ul><h3>Requirements</h3><ul><li>BTech degree</li><li>4?5 years of relevant Data Engineering experience</li><li>Strong SQL skills</li><li>Python</li><li>Snowflake</li><li>ETL/ELT Pipeline Development</li><li>Apache Spark</li><li>Data Warehousing</li><li>Data Modeling</li><li>Data Integration</li><li>Performance Optimization</li><li>Experience working with IQVIA datasets</li><li>Non-US IQVIA commercial datasets</li></ul><h3>Work Arrangements</h3><ul><li>Location: Hyderabad, Telangana, India</li><li>Type: Full-time</li><li>Remote work arrangement: Not specified</li></ul><h3>Nice to Have Skills</h3><ul><li>Healthcare/Life Sciences domain</li><li>Cloud platforms (AWS/Azure/GCP)</li><li>Airflow or similar orchestration tools</li><li>Git</li><li>CI/CD</li><li>Data Quality frameworks</li><li>Shell scripting</li></ul>
Requirements
Benefits
Job Overview
- Posted
- 1/21/1970
- Experience
- mid
- Work Mode
- hybrid
- Salary
- Not disclosed
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