Job Description

Job Description :

We are seeking a highly skilled   Azure Data Engineer to join our dynamic Supply Chain Data Engineering team. As a member of the shared services team, you will play a critical role in building and maintaining scalable data solutions that support various supply chain functions across the organization. This role demands technical expertise, a collaborative mindset, and a proactive approach to problem-solving.

Key Responsibilities:

• Design, develop, and deploy data pipelines using Azure Data Factory, Databricks, and Synapse Analytics.
  

• Work with Azure Data Lake Storage to manage large-scale data ingestion and storage.
  

• Develop robust data transformations using Python, PySpark, and SQL.
  

• Optimize performance of data workflows and ensure data quality and integrity.
  

• Collaborate with cross-functional teams to gather requirements and translate them into technical solutions.
  

• Take ownership of assigned tasks, working independently with minimal supervision.
  

Top Required Technical Skills:

1. Strong hands-on experience with Azure (especially ADF, Synapse, and ADLS).
   

2. Proficiency in Databricks, Python, PySpark, and SQL.
   

3. Solid understanding of data engineering best practices and cloud architecture.
   

Required Soft Skills:

• Excellent communication skills – able to articulate complex technical concepts to various stakeholders.
  

• Accountability and ownership – proactive, reliable, and able to work with minimal assistance.
  

• Strong collaboration and stakeholder management skills – comfortable working with multiple teams across the organization.
  

Preferred Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field.
  

• Experience working in Supply Chain or related domains is a plus.
  

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