Internal Audit - Data Engineer III
Core
Design, build, and maintain scalable data pipelines and data lake solutions to support internal audit, continuous auditing, and risk monitoring initiatives across the enterprise.
Role type
Senior Data Engineer (Internal Audit Analytics)
Builds
Databricks-based analytics environment, scalable ETL/ELT workflows, and curated data models for audit execution and risk assessments.
Domain
Healthcare/Pharmaceuticals, Data Engineering, Internal Audit
Deliverable
production ML models | product features
Required skills
Python, PySpark/Spark, SQL, Databricks, Delta Lake, Azure, ETL/ELT design, data modeling, CI/CD, Git, data quality frameworks, cloud storage services
Preferred skills
SAP ECC/S/4HANA data extraction, Unity Catalog, Delta Live Tables, Azure Data Engineer Associate certification, Databricks Data Engineer certification, experience with onshore US teams
Technologies
Databricks, Azure, Python, PySpark, Delta Lake, Airflow, Azure Data Factory, Git, JSON, Parquet, Avro
Responsibilities
Design and optimize large-scale data ingestion and transformation pipelines; implement data quality checks and automated alerting; collaborate with auditors to enable access to reliable datasets; establish engineering standards and documentation; participate in code reviews and performance tuning.
Seniority
Senior, hands-on IC