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 positive 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.

📌 Data Engineer (Noida)
🏢 Mastek
📍 Noida