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Popular data engineering role title plus known consulting brand increases applicant density moderately.
Core data engineering skills are broadly transferable across industries despite supply-chain context.
No explicit years but multiple mandatory technical skills (SQL, Python, Redshift, ETL, BI) create moderate filtering.
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Develop and optimize data pipelines including automation through scripting and ETL processes.
Manage and query data in AWS Redshift focusing on data warehousing and cluster management.
Design and maintain dashboards for KPI tracking and report publishing using Tableau or Power BI.
Proficiency in advanced SQL querying including joins, window functions, and stored procedures.
Experience with Python programming, including libraries like Pandas and NumPy, and version control with GIT.
Hands-on knowledge of AWS Redshift and data warehousing concepts including query optimization.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in building automated and scalable data engineering solutions in cloud environments.
Strong capability in transforming complex data into business insights through effective dashboarding and KPI tracking.
Comfortable working with cross-functional teams focused on digital supply chain transformation and data analytics.