About the Role

We are looking for highly motivated Data Engineers to join a quick-paced healthcare technology environment and support the implementation of data-driven solutions for global healthcare customers. The role involves designing and maintaining scalable data pipelines, ensuring data quality, supporting analytics initiatives, and collaborating closely with cross-functional teams to deliver successful customer outcomes.

Key Responsibilities

- Design, develop, and maintain scalable ETL/ELT pipelines using SQL and Python.
- Build, optimize, and troubleshoot data workflows to ensure high performance and reliability.
- Ensure data quality, integrity, and availability for analytics and downstream applications.
- Collaborate with customers and internal stakeholders to understand data requirements and implementation needs.
- Perform data ingestion, transformation, validation, and deployment activities.
- Configure and execute analytical measures and reporting solutions.
- Customize, deploy, and maintain Power BI dashboards based on business requirements.
- Conduct ad hoc data analysis and support customer delivery initiatives.
- Work closely with Product, Engineering, Infrastructure, and Delivery teams to ensure timely project execution.

Required Skills & Qualifications

- 2-4 years of experience in Data Engineering.
- Strong hands-on expertise in SQL.




- Experience working with ETL/ELT frameworks and data integration tools.
- Exposure to cloud platforms such as AWS, Azure, or GCP.
- Strong analytical, debugging, and performance optimization skills.
- Experience handling large datasets and building scalable data pipelines.
- Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.

Preferred Skills

- Python programming experience.
- Experience with reporting and visualization tools such as Power BI or Tableau.
- Knowledge of healthcare or pharmacy datasets and workflows.
- Exposure to AI/Automation-driven data solutions.

Domain Experience

- Prior experience in US Healthcare, Pharmacy, Payer, Provider, or Healthcare Analytics domains will be an added advantage.

Success Metrics

- Timely completion of delivery sprints.
- High-quality implementation with minimal UAT defects.
- Successful adherence to customer go-live timelines.
- Delivery of reliable, scalable, and optimized data solutions.

Additional Information

- Work from Office (Noida) is mandatory.
- Immediate joiners are highly preferred.
- Weekend support may be required during customer escalations, with compensatory offs provided.
- Holiday calendar will be aligned with the project/client schedule.

📌 Data Engineer (Noida)
🏢 Mastek
📍 Noida