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:
Strong hands-on experience with Azure (especially ADF, Synapse, and ADLS).
Proficiency in Databricks, Python, PySpark, and SQL.
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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