Data Engineer
Summary
Senior Data Engineer designing scalable data pipelines, warehouses, and analytics for supply chain data in MedTech/Healthcare. Day to day involves building Azure Data Factory/Databricks pipelines, data models for predictive analytics, APIs, and BI datasets using Python, Java, SQL, Spark, and Power BI/Tableau/Qlik.
Job Summary:
We are looking for an experienced Senior Data Engineer with expertise in building scalable data pipelines, cloud data platforms, and analytics solutions. The ideal candidate will work closely with supply chain and business stakeholders to design robust data architectures that enable predictive analytics, reporting, and operational decision-making across MedTech and Healthcare environments.
Key Responsibilities:
- Design and implement scalable data pipelines for supply chain data (inventory, shipping, procurement, logistics)
- Develop and maintain enterprise data warehouses and data lakes
- Ensure data quality, integrity, security, and governance across platforms
- Build data models for predictive analytics, including demand forecasting and supply chain optimization
- Integrate data from ERP, PLM, APIs, and other enterprise systems
- Develop and optimize APIs for seamless data exchange
- Create datasets supporting Power BI, Tableau, and Qlik Sense reporting
- Collaborate with cross-functional teams including Supply Chain, IT, Logistics, and Business stakeholders
- Communicate technical solutions effectively to non-technical audiences
- Apply machine learning concepts to support advanced analytics initiatives
Qualifications:
- Bachelor's degree in Computer Science, Information Technology, or a related field
- 6–8 years of professional experience in Data Engineering
- Strong expertise in Python, Java, SQL, and Spark SQL
- Hands-on experience with Azure Data Factory and Azure Databricks
- Experience working with Hadoop, PySpark, and NoSQL databases
- Strong analytical, problem-solving, communication, and collaboration skills
- Ability to thrive in a fast-paced engineering environment
Preferred Skills
- Experience in Supply Chain, Manufacturing, MedTech, Pharma, or Healthcare domains
- Knowledge of data governance, compliance, and enterprise data security
- Experience with predictive analytics and machine learning concepts
- Exposure to cloud-based enterprise data architectures
- Python
- Java
- SQL / Spark SQL
- PySpark
- Hadoop
- NoSQL
- Power BI
- Tableau
- Qlik Sense
- AWS