Senior Data Engineer: Databricks & AWS for Life Sciences

Indegene Inc.; Northern (KY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Indegene Inc. is seeking a Data Engineer to design, develop, and optimize large-scale data pipelines and analytical solutions for Life Sciences Commercial Operations.

You will work with Databricks, Genie, Delta Lake, and PySpark to deliver scalable data products supporting sales insights, targeting, forecasting, and field performance reporting. The role requires deep AWS expertise and a strong track record with pharmaceutical/biotech datasets such as IQVIA, Claims, Sales & CRM data, and related

Qualifications

• 5–10+ years of experience in Data Engineering or Big Data Analytics.
• Strong hands on experience with Databricks, Genie, Delta Lake, and MLflow.
• Advanced proficiency in PySpark, Python, SQL, and distributed computing.
• Deep experience with AWS (S3, Glue, Lambda, EMR, Redshift, IAM).
• Proven experience working with Life Sciences Commercial datasets.
• Strong understanding of data modeling, ETL/ELT, and cloud architecture.
• Experience with CI/CD, Git, DevOps, and automated workflow orchestration.

Responsibilities

• Build, optimize, and maintain data pipelines using Databricks, Delta Lake, and Genie powered workflows.
• Design and manage data ingestion, storage, and processing using AWS services.
• Build distributed data transformation pipelines using PySpark for high volume datasets.
• Ensure data quality, lineage, governance, and compliance with industry standards.

Skills

Databricks

Genie

Delta Lake

MLflow

PySpark

Python

SQL

AWS

CI/CD

Git

DevOps

S3

Glue

Lambda

EMR

Redshift

IAM

Tools

Tableau

Power BI

Job description

Indegene Inc. is seeking a Data Engineer to design, develop, and optimize large-scale data pipelines and analytical solutions for Life Sciences Commercial Operations.

You will work with Databricks, Genie, Delta Lake, and PySpark to deliver scalable data products supporting sales insights, targeting, forecasting, and field performance reporting. The role requires deep AWS expertise and a strong track record with pharmaceutical/biotech datasets such as IQVIA, Claims, Sales & CRM data, and related