Sr Data Engineer @ Apple

Job Summary

We are seeking an experienced, detail-minded data engineering consultant to join our worldwide business development and strategy team building high-performance datamarts at Apple. If you are someone who looks forward to solving complex business problems and is excited about this opportunity, please reach out to us.

Job Description

You will design and build data warehouses on the cloud, to provide efficient analytical and reporting capabilities across Apple’s global and regional sales and finance teams.
You will develop highly scalable data pipelines to load data from various source systems, use Apache Airflow to orchestrate, schedule, and monitor the workflows.
You will be required to understand existing solutions, fine-tune them and support them as needed. Data quality is our goal and we expect you to meet our high standards on data and software quality.
We seek a self-starter, who is willing to learn fast, adapt well to changing requirements, and work with cross-functional teams.

Key Qualifications

  • 6+ years of hands-on data modeling and data engineering experience
  • Strong expertise in dimensional modeling and data warehousing
  • Database design and development experience with relational or MPP databases such as Postgres/ Oracle/ Teradata/ Vertica
  • Experience in design and development of custom ETL pipelines using SQL and scripting languages (Python/ Shell/ Golang)
  • Proficiency in advanced SQL, performance tuning
  • Hands-on experience with Big-Data platform like Hadoop, MapReduce, Hive etc
  • Experience with cloud computing platforms like AWS, Google Cloud
  • Familiarity with version control and migration tools for database and software
  • Experience working with APIs will be a plus

Education & Experience

  • BS or MS in Engineering/ Computer Science

Benefits

  • Fully remote forever
  • Competitive market salary
  • Medical/dental/vision/401k
  • Competitive PTO
  • 4-step Interview Process

  1. Recruiter phone screen (with you) & Hiring manager review (this happens in the background)
  2. Coding screen (dimension modeling, python, sql)
  3. Architecture screen (webex)
  4. Team interview (python/sql/business stakeholders)
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