We are seeking an experienced Data Engineer to join our Supply Chain Analytics team. The successful candidate will design, develop, and maintain data pipelines and architectures to support supply chain optimization, predictive analytics, and business intelligence.

Job Title: Data Engineer – Supply Chain Applications

Roles and responsibilities:

• Design and implement data pipelines for supply chain data (e.g., inventory, shipping, procurement).
• Develop and maintain data warehouses and data lakes.
• Ensure data quality, integrity, and security.
• Collaborate with supply chain stakeholders to identify analytics requirements.
• Develop data models and algorithms for predictive analytics (e.g., demand forecasting, supply chain optimization).
• Implement data visualization tools (e.g., Tableau, Power BI).
• Integrate data from various sources (e.g., ERP, PLMs, other data sources).
• Develop APIs for data exchange.
• Work with cross-functional teams (e.g., supply chain, logistics, IT).
• Communicate technical concepts to non-technical stakeholders.
• Experience with machine learning algorithms & concepts
• Knowledge of data governance and compliance.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills.
• Ability to work in a fast-paced environment.

Technical Skills:

• Bachelor's degree in computer science, Information Technology, or related field.
• 7+ years of experience in data engineering.

Proficiency in:

• Programming languages - Python, Java, SQL, Spark SQL.
• Data technologies - Hadoop, PySpark, NoSQL databases.
• Data visualization tools - Qliksense, Tableau, Power BI
• Cloud platforms - Azure Data Factory, Azure Databricks, AWS