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.