24 days old

Data Engineering Lead - Product Marketing Customer Analytics

Cupertino, CA
  • Job Code


Posted: Oct 10, 2019

Weekly Hours: 40

Role Number: 200109525

Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish

*There is a possibility of this position being located in Austin, TX*

The Product Marketing Customer Analytics team is seeking a lead data engineer to support customer analytics with data architecture, data pipelines, and process engineering across relational databases and big data platforms

Key Qualifications

  • Significant experience leading a team of data engineers
  • Experience in designing, developing, and managing a highly optimized, flexible, and scalable data platform for customer analytics
  • Experience building a connected data platform, and stitching together various large and disparate data sources for data analysis
  • Significant experience managing data engineering projects through all phases, including requirements, ETL, data quality assessments, and data exploration
  • Strong in Python, Spark, and Hadoop environments
  • Deep experience with relational databases and data warehouses (preferably Teradata), and optimizing SQL statements on large data set
  • Able to deploy advanced data quality monitoring systems to ensure continuous accurate information
  • Ability to work cross-functionally with business partners, source system teams, and IT partners
  • Can work effectively on sometimes ambiguous data and constructs within a fast changing environment, tight deadlines and priority changes
  • Solid debugging, critical thinking, project management, and communication skills with the ability to present work to senior management
  • Strong documentation and technical writing skills


The Product Marketing Customer Analytics team is seeking a lead analytic engineer to support customer analytics with advanced architecture, tools, data products, and pipelines that are optimized for rapid business intelligence, data analysis, and data science

Education & Experience

Master's in Computer Science or Engineering, or equivalent experience

Additional Requirements

Posted: 2019-12-23 Expires: 2020-01-21

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Data Engineering Lead - Product Marketing Customer Analytics

Apple, Inc.
Cupertino, CA

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