Senior Data Engineer Aruba Supply Chain Analytics

This role is part of HPE Operations, focusing on designing, developing, and maintaining advanced data solutions to optimize supply chain operations. The position involves building robust data pipelines, implementing ETL processes, and providing actionable insights to drive business performance.

Key Responsibilities

• Independently develop solutions for complex supply chain projects, leveraging deep domain and industry knowledge
• Interpret data from junior contributors and provide recommendations to optimize operational performance
• Design, develop, and maintain scalable data pipelines using AWS Redshift, Lambda, Glue, Step Functions, CloudWatch, and Apache Spark
• Implement ETL processes to extract, transform, and load data from multiple sources into data warehouses
• Develop and maintain SQL scripts for data extraction, transformation, and loading
• Write and maintain Python scripts for data processing, automation, and analysis
• Monitor and troubleshoot data pipelines to ensure data integrity, accuracy, and performance
• Collaborate with cross-functional teams to gather requirements and deliver actionable data solutions
• Ensure data security and compliance with relevant regulations
• Lead strategic supply chain projects from planning to execution, providing actionable findings and insights
• Consult with business leaders to resolve complex supply chain challenges and improve operational efficiency

Education and Experience

• First-level university degree (Bachelor's) or equivalent; advanced degree preferred
• 610 years of experience in supply chain, data engineering, or analytics functions

Technical Knowledge and Skills

• Extensive experience with AWS services including Redshift, Lambda, Glue, Step Functions, and CloudWatch
• Expertise in ETL processes, data warehousing, and pipeline development
• Advanced proficiency in SQL and Python for data manipulation, analysis, and automation
• Experience with Apache Spark for large-scale data processing
• Proficiency with Excel, PowerPoint, Access, and high-level modeling tools
• Strong analytical, problem-solving, and attention-to-detail skills
• Knowledge of emerging trends in supply chain and data technologies