Job Details

This job profile description is a standardized, non-contractual reference description and global reference tool provided for organizational consistency and talent architecture purposes across Cencora. It does not alter actual job duties, responsibilities, reporting lines, working conditions, grading, compensation, or other essential terms and conditions of employment. Actual duties and responsibilities may vary based on business needs, local requirements, and operational practices. Where a team member's role is governed by an employment agreement, local terms and conditions, prior or collective bargaining agreement, those documents shall prevail in case of any inconsistency. Mandatory local laws shall also prevail. Develops simple, well-structured data pipelines and queries using standard frameworks and templates. Codes and tests ETL/ELT components for data ingestion, transformation, and loading across batch or streaming patterns. Executes data quality checks and reconciliation against source systems, and records results. Monitors pipeline schedules, SLAs, and logs, investigates routine failures, and notifies seniors for unresolved issues. Writes dataset lineage, table definitions, and change history in agreed repositories. Collaborates with data analysts, data scientists, and platform engineers to map sources, refine requirements, and validate outputs against acceptance criteria. Applies security, privacy, and governance controls, and updates configurations to comply with standards.Bachelor’s degree in computer science,



data engineering, information systems, or a related field, or equivalent experience required. Less than 2 years of experience in data engineering, ETL/ELT development, data integration, or a related field required. Certification in cloud, data, or technology fundamentals preferred.

Schedule

Full time

Affiliated Companies

Affiliated Companies: CENCORA BUSINESS SERVICES INDIA PRIVATE LIMITED

Equal Employment Prospect

Cencora 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 (phone hidden) or email [email protected]. We will make accommodation determinations on a request-by-request basis. Messages and emails regarding anything other than accommodations requests will not be returned

📌 Data Engineer I - Data Engineering (Pune)
🏢 Cencora
📍 Pune