Role : Walk-in Drive - Senior Data Engineer

Time and Venue :

- 28 March 2026 (Saturday) , 10.00 AM - 5.00 PM

- 24/7.Ai building, The Hive, Infiniti Research, 10th Floor, Prestige Tech Platina 2, Kadubeesanahalli, Marathahalli Outer Ring Road, Bangalore 560087

About the Role :

We are seeking a highly skilled Data Engineer with expertise in Databricks and AWS Cloud to design, build, and optimize enterprise-scale ETL pipelines and reporting solutions. This role is ideal for someone who thrives at the intersection of data engineering and business intelligence, with a strong focus on transforming complex datasets into inputs for actionable insights. You will play a critical role in enabling spend analytics, patient access, and commercial reporting initiatives.

Key Responsibilities :

Databricks ETL Development :

- Design, develop, and maintain scalable ETL pipelines in Databricks using PySpark and SQL.

- Implement robust data ingestion, transformation, and validation processes to ensure high-quality datasets for analytics.

- Optimize workflows for performance, scalability, and reliability across large healthcare datasets.

Data Product Build :

- Transform AWS assets (On EC2 and Redshift) to Databricks by recreating the running ETL jobs and orchestrating via Airflow/Databricks Workflow

- Hands on working experience of catalog management using Unity Catalog

- Conversant with AI capabilities within AWS and Databricks

Requirements :

- Experience in Databricks data engineering roles.

- Strong hands-on proficiency in Databricks (PySpark, SQL) and AWS cloud.

- Proven track record in ETL pipeline development and understanding of BI dashboards.

- Experience with US healthcare datasets.

- Strong SQL skills for data extraction, aggregation, and reporting.

- Excellent problem-solving abilities, with the capacity to work independently and in cross-functional teams.

- Detail-oriented with a commitment to delivering high-quality, reliable data solutions.