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Lead Data Engineer Aruba Supply Chain Analytics

6-10 Years
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  • Posted 22 days ago
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Job Description

This role is part of HPE Operations, focusing on leading the development and maintenance of advanced data solutions for Aruba's supply chain analytics. The position involves building robust data pipelines, implementing ETL processes, and providing actionable insights to optimize supply chain operations.

Key Responsibilities

  • Independently design, develop, and maintain solutions for complex supply chain projects using in-depth domain and industry knowledge
  • Interpret and analyze data from junior contributors to develop actionable recommendations for operational optimization
  • Build and manage 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 centralized 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 reliable data solutions
  • Ensure compliance with data security standards and relevant regulations
  • Lead strategic supply chain projects from planning through execution, providing findings and actionable insights
  • Consult with business leaders on supply chain performance, trends, and optimization opportunities

Education and Experience

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

Technical Knowledge and Skills

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

More Info

Job Type:
Function:
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Open to candidates from:
Indian

About Company

The Hewlett-Packard Company, commonly shortened to Hewlett-Packard or HP, was an American multinational information technology company headquartered in Palo Alto, California. HP developed and provided a wide variety of hardware components, as well as software and related services to consumers, small and medium-sized businesses (SMBs), and large enterprises, including customers in the government, health, and education sectors. The company was founded in a one-car garage in Palo Alto by Bill Hewlett and David Packard in 1939, and initially produced a line of electronic test and measurement equipment. The HP Garage at 367 Addison Avenue is now designated an official California Historical Landmark, and is marked with a plaque calling it the "Birthplace of 'Silicon Valley'".

Job ID: 139800123