Data Engineer

Job description

**Technology Category** Data Engineering **Seniority / Level** Level I **Experience Required** 2–4 years **Domain / Industry** US Healthcare **Primary Technology Stack** SQL **Secondary Technology Stack** ETL/ELT frameworks & tools **Cloud / Infrastructure** AWS / GCP / Azure (cloud-based data services) **Database / Data Technologies** SQL, data handling, ETL/ELT-based pipelines **Key Responsibilities** Design, develop, and maintain scalable ETL/ELT pipelines using SQL & some Python; ensure good data quality, integrity, and availability for downstream analytics and product workflows; collaborate with customers to gather requirements; troubleshoot and optimize data workflows and pipelines for performance and reliability **Must-Have Skills / Experience** Excellent SQL, experience on cloud environments (AWS, GCP, or Azure); Python and Dashboarding (PowerBI/Tableau) experience are good to have; experience on ETL/ELT frameworks and tools, performance optimization, and debugging skills; 3–5 years of experience in data engineering; Bachelor’s degree in Computer Science, Engineering or related field.