Description

We are seeking a highly skilled Sr. Data Engineer with strong experience in modern cloud data platforms, lakehouse architectures, and data transformation frameworks.

Required Skills:
SQL
Python (PySpark preferred)
Azure Cloud (AWS/GCP experience also considered)
Azure Data Lake Storage Gen2 (ADLS Gen2) or equivalent
Object Storage-Based Data Lakes
Parquet
Lakehouse Concepts (Iceberg and/or Delta Lake)
dbt (Core and/or Cloud)
GitHub & Pull Request-Based Development
CI/CD Pipelines (GitHub Actions or equivalent)
Snowflake, Microsoft Fabric, and/or Databricks

Preferred Skills:
Microsoft Fabric Data Factory / Azure Data Factory
Fabric or Databricks Notebooks
Airflow, Dagster, or similar orchestration tools
Healthcare / Payer Domain Experience (Claims, Provider, Clinical)

What We're Looking For:
Strong hands-on Data Engineering experience
Modern Data Platform & Lakehouse expertise
Cloud-native Data Pipeline Development
Strong Data Modeling & Transformation experience
GitOps and CI/CD best practices

Key Skills

Education

Any Graduate