Sr. Data Engineer – Supply Chain Analytics
Opella Healthcare GroupMatch Score
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Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and maintain scalable ETL/ELT data pipelines for supply chain data using Python, SQL, dbt, and Airflow.
Develop and optimize Snowflake data models to support supply chain KPIs and enable analytics through Power BI dashboards.
Implement data quality, monitoring, and governance practices while collaborating with supply chain planners and SAP experts to deliver data solutions.
Minimum Requirements
7–10 years of experience in data engineering, preferably with supply chain or operations analytics focus.
Advanced proficiency in Python and SQL; hands-on experience with Snowflake including data modelling and query optimization.
Experience building and managing workflows with Apache Airflow or equivalent orchestration tools at intermediate level.
Bachelor's or master's degree in computer science, engineering, data science, or related field.
Ideal Candidate Profile
Experienced in supply chain domains such as demand planning, inventory management, logistics, and S&OP/IBP processes.
Capable of designing scalable data architectures including data lakes, warehouses, and medallion architecture.
Able to engage with stakeholders across supply chain, SAP, and product teams to translate business requirements into data solutions.