Internal Audit - Data Engineer III
AmerisourceBergen
Pune, India
Full-Time
Competitive
OfficeExecutive
Our team members are at the heart of everything we do. At Cencora, we are united in our responsibility to create healthier futures, and every person here is essential to us being able to deliver on that purpose. If you want to make a difference at the center of health, come join our innovative company and help us improve the lives of people and animals everywhere. Apply today!
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 environment. 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 >
.
EXPERIENCE AND EDUCATIONAL REQUIREMENTS
Bachelor’s or Masters degree in Computer Science, Data Engineering, Information Systems, Analytics, or related discipline; equivalent work experience considered.
Minimum 3–5 years of relevant experience required; 5–7 years preferred including 2-4 years of hands-on Data Engineering experience with Databricks.
Build and manage scalable ETL/ELT pipelines integrating data from SAP ECC or SAP S/4HANA.
Deep expertise working with Databricks, including cluster design, notebook development, Spark optimization, Delta Lake, Delta Live Tables, Unity Catalog (Centralized permissions, Data lineage, Table & schema access controls), and data governance/access controls.
Strong proficiency in Python, PySpark/Spark, and SQL; understanding of Spark architecture: Driver, Executors, Stages, Tasks and Shuffle, portioning, caching. Performance tuning and optimization on large datasets.
Experience designing and managing large-scale data ingestion from complex enterprise systems (ERP, financial systems, operational platforms).
Hands-on experience with Azure (preferred), Amazon Web Services (AWS), or Google Cloud Platform (GCP) cloud services.
Solid understanding of data warehousing/Lake house concepts, Delta Lake (Delta Lake table design, ACID transactions, schema enforcement & evolution, time travel, handling late arriving data) and medallion architecture.
Experience in creating and supporting end-to-end ETL/ELT workflows.
Experience handling semi‑structured data (JSON, Parquet, Avro).
Prior experience developing semantic models for analytics consumption.
Strong experience with data quality frameworks, validation routines, and monitoring strategies.
Experience with Git-based development and CI/CD practices.
Experience with cloud storage and services (Azure Data Lake Storage).
Experience with data integration tools (e.g., Fivetran, ADF, etc).
Experience collaborating with US-based onshore teams is strongly preferred.
Databricks Data Engineer Professional or Associate Certification is preferred.
Azure Data Engineer Associate (DP‑203) Certification is preferred
Benefit offerings outside the US may vary by country and will be aligned to local market practice. The eligibility and effective date may differ for some benefits and for team members covered under collective bargaining agreements.
Full timeCencora is committed to providing equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, veteran status or membership in any other class protected by federal, state or local law.
The company’s continued success depends on the full and effective utilization of qualified individuals. Therefore, harassment is prohibited and all matters related to recruiting, training, compensation, benefits, promotions and transfers comply with equal opportunity principles and are non-discriminatory.
Cencora is committed to providing reasonable accommodations to individuals with disabilities during the employment process which are consistent with legal requirements. If you wish to request an accommodation while seeking employment, please call 888.692.2272 or email hrsc@cencora.com. We will make accommodation determinations on a request-by-request basis. Messages and emails regarding anything other than accommodations requests will not be returned