Senior Data Engineer - Azure Lakehouse | GxP Regulated

DataJobs; Indianapolis (IN); On-site; USD 67,000 - 78,000; Full time

Job summary

Dhanu Global Enterprises, Inc. is building a governed data and AI platform in Indianapolis to support regulatory reporting, analytics, and AI insights.

The role is onsite in Indianapolis, focusing on production data engineering, ETL/ELT pipelines, and API integrations within Azure-based architecture. In a GxP/FDA-regulated environment, you will ensure data quality, lineage, and controls while connecting lab, device, and partner data.

Qualifications

• 8+ years of hands‑on Data Engineering experience building production ETL/ELT pipelines and API integrations.

Responsibilities

• Design, build, and maintain production ETL/ELT pipelines that integrate diverse systems into Microsoft Azure Fabric Lakehouse and PostgreSQL.
• Develop and optimize a Bronze, Silver, Gold medallion architecture with robust data models and referential integrity.
• Build scalable API integrations and cross‑cloud pipelines across Azure and AWS for enterprise data integration.
• Implement automated data quality controls, schema validation, data lineage, and audit trails to support GxP compliance.
• Monitor, troubleshoot, and optimize pipeline performance and reliability in production environments.
• Collaborate with business, engineering, and IT teams to enable analytics, AI, and regulatory reporting.

Skills

Python

PySpark

SQL

PostgreSQL

API integrations

CI/CD

Azure Fabric

AWS

Data modeling

GxP

Tools

Azure Fabric: Lakehouse

Delta Lake

S3

Glue

RDS/Aurora

PostgreSQL

LabVantage LIMS

Jama

Job description

Dhanu Global Enterprises, Inc. is building a governed data and AI platform in Indianapolis to support regulatory reporting, analytics, and AI insights.

The role is onsite in Indianapolis, focusing on production data engineering, ETL/ELT pipelines, and API integrations within Azure-based architecture. In a GxP/FDA-regulated environment, you will ensure data quality, lineage, and controls while connecting lab, device, and partner data.