Business Solutions Data Engineer

A leading technology company that creates innovative products, services, and customer experiences.
Data
Senior Software Engineer
In-Person
5+ years of experience
Enterprise SaaS
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Description For Business Solutions Data Engineer

Join Apple's Global Sourcing & Supply Management (GSSM) Solutions team as a Data Engineer on the core AIML team. You'll be at the forefront of designing and developing scalable data systems to empower AIML and GenAI applications. This role offers an opportunity to work in a collaborative environment where you'll partner with business stakeholders, data scientists, and IT groups to drive strategic and tactical decision-making processes within Apple's supply chain.

As a Data Engineer, you'll be responsible for architecting and developing large-scale data solutions, creating efficient data pipelines, and ensuring data quality through robust frameworks. You'll work with modern technologies including Python, SQL, Spark, and Apache Airflow, while leveraging cloud platforms like AWS and Google Cloud.

The ideal candidate brings 5+ years of experience in data engineering, with strong expertise in data architecture, dimensional modeling, and data warehousing. You should be proficient in SQL and Python programming, with experience in AIML and GenAI solutions. Strong communication skills are essential as you'll be presenting insights to senior leadership.

This role offers the chance to make a significant impact at one of the world's most innovative technology companies, working on solutions that will revolutionize Apple's supply chain operations. You'll be part of a dynamic team that values collaboration, innovation, and technical excellence, while contributing to projects that directly influence Apple's operational efficiency and success.

Last updated 19 days ago

Responsibilities For Business Solutions Data Engineer

  • Architect, develop, and test large scale data solutions
  • Develop highly scalable data pipelines using Apache Airflow
  • Participate in data architecture and engineering decisions
  • Ensure data quality through setting up data quality management frameworks
  • Communicate results and insights to partners and senior leaders

Requirements For Business Solutions Data Engineer

Python
  • MS or BS degree in Computer Science, Statistics, Applied Math or a related field
  • 5+ years of hands-on experience in data architecture, dimensional modeling, data warehousing and data engineering
  • Proficiency in SQL, Python, and Spark, with experience handling large datasets
  • Experience with AIML and GenAI solutions
  • Proficiency in design and development of custom ETL pipelines
  • Experience with modern data architecture like data lakes, data lakehouse
  • Experience with cloud computing platforms like AWS, Google Cloud
  • Experience with version control systems, CI/CD practices, testing, and migration tools
  • Excellent oral and written communication skills

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