Job Details
POSITION SUMMARY
The Internal Audit Data Analytics team is seeking experienced Data Engineer to support the build‑out and ongoing enhancement of Internal Audit’s Databricks-based analytics setting. This role will focus on designing, building, and maintaining scalable data pipelines and data lake solutions used to support stand‑alone audits, continuous auditing, and risk monitoring initiatives across the enterprise.
Reporting to the Data Analytics Sr. Manager – Internal Audit, the Data Engineers will play a critical role in enabling high-quality, governed, and automated data flows into Internal Audit’s Databricks cube. This position will partner closely with auditors, data analysts, IT organization, and business stakeholders to ensure reliable data ingestion, data quality, and availability of analytical datasets for use in audit execution, risk assessments, and strategic data-driven initiatives.
This is a hands-on engineering role requiring deep technical expertise in Databricks, cloud platforms (Azure preferred), data modeling, ETL/ELT design,



and development of scalable data engineering solutions.
PRIMARY DUTIES AND RESPONSIBILITIES
Data Engineering & Pipeline Development
Design, build, and maintain large-scale, fault-tolerant data pipelines using Python/PySpark, Databricks, Delta Lake, and orchestration tools (e.g., Airflow, Azure Data Factory).
Develop and optimize ETL/ELT workflows to support ingestion, transformation, and modeling of large datasets into a Lakehouse using Delta Lake: batch ingestion from files, databases, APIs; streaming using Structured Streaming; handling semi-structured data (JSON, Parquet, Avro); ELT patterns using Spark SQL / PySpark; Incremental processing patterns; Databricks Jobs; External orchestrators (ADF, Airflow, etc.)
Hands‑on experience with SAP ECC or SAP S/4HANA data extraction and processing
Implement CDC, incremental loads, and full refresh patterns; handle schema evolution and data reconciliation.
Develop and

📌 Internal Audit (Pune)
🏢 Cencora
📍 Pune