Data Engineer

Management Consulting | Strategy & Analytics
Same job available in 90 locations

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Position Summary

Are you an experienced, passionate pioneer in technology – a solutions builder, a roll-up-your-sleeves technologist who wants a daily collaborative environment, think-tank feel and share new ideas with your colleagues - without the extensive demands of travel?  If so, consider an opportunity with our Project Delivery team.  

The Team

The  Analytics team is responsible for collecting, analyzing, and reporting on customer insights. From this data we generate insights into how customers interact with our products, and use these insights to drive improvements to user-facing features.

Apple is looking for an extraordinary engineer to join the worldwide business development and strategy team. This is an opportunity to join a fast-paced team that plays a key role in the overall success of our organization through technology enablement. You’ll play a critical part in driving our technology vision forward and ensuring that we execute across multiple initiatives.

Qualifications

 Required

  • 5+ years of prior experience in a Senior Data Engineering role or as a technical lead on Data Engineering projects
  • Advanced experience working with both relational databases (e.g. Teradata, Vertica, etc.) and Big Data platforms (e.g. Hadoop, etc) required
  • Advanced hands-on experience with   Python, Spark (PySpark, Scala) programming languages
  • Intermediate understanding   of OLAP systems and Data warehousing & Data modelling concepts
  • Advanced experience working on Big Data, BI or Analytics related projects as a technical lead and individual contributor
  • Advanced knowledge of SQL/Hive/Trino
  • Intermediate experience with various performance tuning techniques in Spark/Hive/Teradata
  • Advanced experienced with job schedulers developing shell scripts, CRON, Airflow jobs to automate data workflows 
  • Experienced in leading a team of data engineers or individually developing technical solutions to business problems
  • Experienced in leading a team of data engineers or individually working on the implementation of data integration requirements and developing the pipeline of data from raw to curation layers including the cleansing, transformation, derivation and aggregation of data
  • Ability to communicate effectively (written and spoken).
  • Ability to work with the multi-location development teams and self-manage individual and others work

#LI-AA3


Our people and culture

Our diverse, equitable, and inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our client most complex challenges. This makes Deloitte one of the most rewarding places to work. Learn more about our inclusive culture.

Professional development

From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.


As used in this posting, "Deloitte" means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

Requisition code: 102852

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