- As per the client requirement, we need profiles with the below skills:
- Hands-on experience in Databricks or any equivalent lakehouse platform, with experience in Medallion Architecture. Experience with Domo or any similar BI tool like Looker, Tableau, or Power BI, preferably with semantic layer experience. Robust SQL skills.

Experience in Python or PySpark for data pipeline and ETL work.

- 5+ years in data analytics or analytics engineering, including experience prioritizing across multiple stakeholder groups with competing timelines.
- Hands-on experience with Databricks (or equivalent lakehouse platform) and building/maintaining medallion-style data models.
- Experience with Domo or a comparable BI tool (Looker, Tableau, Power BI) at a level where you’re building semantic layers, not just charts.
- Strong SQL; comfort with Python or PySpark for pipeline work.




- Demonstrated ability to push back on stakeholder - asking clarifying questions, challenging vague requirements, saying no when priorities don’t line up.
- Excellent written and verbal English communication; you will run live discussions with US stakeholders, not just exchange async tickets.
- Comfortable with a work schedule that regularly extends into the evening IST to overlap with US Eastern morning hours (roughly 9:30am–12:30pm ET / 7–10pm IST) — this is a recurring requirement, not an occasional one, during active project cycles.
- Healthcare/HIPAA-adjacent data experience is a plus given the Clinical stakeholder group.

📌 Lead Software Engineer (Hyderabad)
🏢 Virtusa
📍 Hyderabad