Data Engineer (Python, SQL, Azure)

About the position

• Design, build, and maintain scalable data infrastructure and ELT pipelines to deliver secure, real-time operational and supply chain data.


• Ensure high data quality, performance, and system availability while integrating multiple platforms (WMS, TMS, ERP, IoT).


• Monitor latency, query performance, and issue resolution, and drive automation to reduce manual effort.


• Maintain governance through access controls, audit readiness, and version-controlled SQL processes, enabling accurate reporting, advanced analytics, and efficient decision-making.

Minimum Requirements:

Minimum Requirements (Experience & Qualifications)

• Diploma / Degree in Computer Science or related field


• Microsoft Certified: Azure Data Engineer Associate


• Google Professional Data Engineer


• AWS Certified Data Analytics


• Certifications in BI or analytics tools (e.g. Power BI, Tableau, SQL)


• 3–5 years’ experience in data engineering, preferably in logistics and supply chain sectors

 



Required Knowledge:

• Design and develop scalable ELT/ETL pipelines using tools like Apache Airflow, SSIS, or Azure Data Factory.


• Integrate and model data across logistics systems (ERP, WMS, TMS, IoT) with optimized SQL and Python scripting.


• Apply data warehousing concepts (star/snowflake schemas), data validation, cleansing, and transformation techniques.


• Implement version control and CI/CD for data products, ensuring high performance and reliability.


• Leverage cloud platforms (Azure, AWS, GCP) and strong debugging, problem-solving, and communication skills to support supply chain analytics and reusable data pipelines.

Desired Skills:

• Data Engineer
• SQL
• Python
• azure