Sr. Data Engineer – Supply Chain Analytics
Opella Healthcare Group (company site, opens in a new tab)7–10 yrsHyderabadOn-siteDirect career pageEst. 22–36 LPA
Posted 10h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and maintain scalable ETL/ELT data pipelines for supply chain data integration using Python, SQL, dbt, and Airflow.
- Develop and optimize data models in Snowflake to support supply chain KPIs and enable analytics through Power BI dashboards and self-service reporting.
- Implement data quality checks, lineage tracking, and collaborate with cross-functional stakeholders including supply chain planners and SAP experts to deliver impactful data solutions.
Minimum Requirements
- 7–10 years of experience in data engineering with a focus on supply chain or operations analytics.
- Advanced proficiency in Python and SQL, hands-on experience with Snowflake including data modelling and query optimization.
- Experience with Apache Airflow or equivalent orchestration tools at intermediate level.
- Bachelor's or master's degree in computer science, engineering, data science, or a related field.
Ideal Candidate Profile
- Experienced in designing scalable data architectures such as data lakes, data warehouses, or medallion architectures in supply chain contexts.
- Capable of working with stakeholders across global supply chain functions to translate requirements into data solutions.
- Strong domain knowledge or familiarity with supply chain processes including demand planning, inventory management, logistics, and S&OP/IBP cycles (considered a plus).