Senior Data & Analytics Engineer - People Analytics

Santa Clara Valley (Cupertino), California, United States
Corporate Functions

Summary

Posted:
Weekly Hours: 40
Role Number:200362587
Apple’s People Analytics team is accountable for equipping our executives, business leaders, HR partners and recruiters with data-driven insights to make the best decisions about people — individuals, teams, and organizations. We are a rapidly growing team with plenty of exciting technical and business challenges to tackle. We are seeking a highly seasoned, diligent senior data and analytics engineer to join our analytics development team. Your work will have a direct and measurable impact to Apple and its employees. The ideal candidate will be an individual with strong problem solving and analytical skills along with equally strong communication and intuition for business. We seek a self-starter, who is willing to adapt well to changing requirements and work with cross-functional teams. This role can be in Cupertino, Austin, Raleigh, or Seattle.

Key Qualifications

  • 8+ years of hand-on data modeling and data engineering and analytics experience.
  • Strong background on dimensional modeling and data warehousing concepts.
  • Experience in design and development of custom ELT pipelines using SQL, dbt, Python
  • Proficiency in advanced SQL, performance tuning and optimization methodologies.
  • Experience with Snowflake or cloud architecture such as AWS, Google Big Query
  • Experience working with APIs or unstructured data
  • Ability to translate business processes and data into analytics solutions.
  • Experience building data service layer for custom applications will be a plus
  • Experience with Tableau and Apache Airflow a plus
  • Experience working with multi-functional teams to translate business needs into data requirements
  • Experience leading other junior members on the team on data pipelines design
  • Ability to adjust between widely divergent tasks and subject matter on short notice, and rapidly adapt to multidimensional audiences.

Description

As a senior member on the Data Analytics Engineering team, you will play a lead role in designing, developing and scaling Apple’s people analytics data models on cloud that provide efficient analytical and reporting capabilities across Apple’s global and regional partners. You will develop highly scalable data pipelines to load data from various source systems, use python and dbt to ingest and transform your data and handle orchestration and scheduling of your workflows. Your data pipelines should have data validation and alerting frameworks built into them. You will engage and collaborate with developers and system architects to understand systems, processes, data and be responsible to translate sophisticated business requirements into scalable and performant analytical data models that support partner requirements. In this role, you will also build generic and reusable frameworks for the broader team to use. You will be required to understand existing solutions, fine-tune them for improvements and optimizations and support them as needed. Data quality and scalability with minimal DevOps is our goal, and we expect your technical design and development processes to exemplify these aspects. The solutions you will build will directly support analytics for recruiting, workforce management, candidate and employee surveys, compensation, benefits, employee services and other areas. Data stitching across these domain areas will be common to produce relevant analytical data sets. To be successful in this role, you will be encouraged to grasp key business and data design concepts in other domain areas so you can use them as needed by a solution.

Education & Experience

- BS or MS degree in engineering / computer science or equivalent practical experience

Additional Requirements

  • Apple is an equal opportunity employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants.