Software Data Engineer
Description For Software Data Engineer
Apple is seeking an experienced, detail-minded data engineering professional to join their worldwide business development and strategy team. The role involves architecting, developing, and testing large scale data solutions to provide efficient analytical and reporting capabilities across Apple's global and regional sales and finance teams.
Key responsibilities include:
- Developing highly scalable data pipelines to load data from various source systems
- Using Apache Airflow to orchestrate, schedule, and monitor workflows
- Building generic and reusable solutions that can scale and utilize various technologies and frameworks
- Understanding, fine-tuning, and supporting existing solutions
- Ensuring high standards of data and software quality
The ideal candidate should be a self-starter, willing to learn fast, adapt well to changing requirements, and work with cross-functional teams. This role offers the opportunity to work on interesting technical and business challenges in a rapidly growing team.
Required qualifications:
- 5+ 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
- Experience in designing and developing custom ETL pipelines
- Proficiency in advanced SQL and performance tuning
- Hands-on experience with Big-Data platforms
- Experience with Java, Scala, and Python
- Experience with cloud computing platforms like AWS, Google Cloud
- Experience working with APIs
- BS or MS in Engineering/Computer Science
Apple offers a comprehensive compensation package, including base pay, potential stock awards, and various benefits such as medical coverage, retirement benefits, and educational reimbursement opportunities.
Apple is committed to inclusion and diversity, providing equal opportunities for all applicants regardless of their background.
Responsibilities For Software Data Engineer
- Architect, develop, and test large scale data solutions
- Provide efficient analytical and reporting capabilities across Apple's global and regional sales and finance teams
- Develop highly scalable data pipelines to load data from various source systems
- Use Apache Airflow to orchestrate, schedule and monitor workflows
- Build generic and reusable solutions that can scale
- Utilize various technologies and frameworks to solve complex business requirements
- Understand existing solutions, fine-tune them and support them as needed
- Maintain high standards on data and software quality
Requirements For Software Data Engineer
- 5+ 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
- Experience in design and development of custom ETL pipelines using SQL and scripting languages
- Proficiency in advanced SQL, performance tuning
- Hands on experience with Big-Data platform like Spark, Dremio, Hadoop, MapReduce, Hive etc
- Experience with Java, Scala and Python
- Experience with cloud computing platforms like AWS, Google Cloud
- Experience working with APIs
- Ability to learn and adapt to new tools and technologies
- Analytical and mathematical mind
- Ability to work individually or as part of a team
- Ability to learn quickly in a fast paced environment
- Excellent oral and written communication skills
- BS or MS in Engineering/ Computer Science
Benefits For Software Data Engineer
- Comprehensive medical and dental coverage
- Retirement benefits
- Discounted products and free services
- Reimbursement for certain educational expenses
- Opportunity to become an Apple shareholder through stock programs
- Potential discretionary bonuses or commission payments
- Possible relocation assistance
