Senior Data Engineer

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.

Required Skills:

• Bachelor's degree in Computer Science, Information Technology, or related field.
• 6-8 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 platorms - Azure Data Factory, Azure Databricks, AWS