Data Engineer
Apple
Summary
Description
Minimum Qualifications
Key Qualifications
- 8+ years of hands-on experience in data architecture, dimensional modeling, data warehousing and data engineering
- Strong expertise in design and development on cloud data warehouses like Snowflake, Redshift, BigQuery and Big-Data platforms like Spark, Dremio, Hadoop, Hive
- Proficiency in design and development of custom ETL pipelines using SQL and scripting languages (Python/ Shell/ Golang) and workflow management tools like Airflow
- Proficiency in advanced SQL, performance tuning
- Experience with modern data architecture like data lakes, data lakehouse and cloud computing platforms like AWS, Google Cloud
- Experience with version control systems, CI/CD practices, testing, and migration tools for database and software
- Ability to learn and adapt to new tools and technologies, in a fast paced environment
- Exhibit excellent oral and written communication skills, with the ability to work individually, navigating through ambiguity or as part of a team
Preferred Qualifications
Education & Experience
Additional Requirements
Pay & Benefits
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.