Senior Data Engineer, Infrastructure Services
Job Description
Summary
Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.
The Infrastructure Services Programs and Solutions team is looking for a passionate, self-motivated and hard-working engineer to be part of a diverse, fast paced and high-energy team. We are seeking an experienced Data Engineer to build high quality, scalable and resilient distributed systems that power the analytics platform and data pipelines. As a key player in our data initiatives, you will be instrumental in defining and delivering robust cloud-based analytical and big data solutions that drive significant business impact.
If you thrive on solving complex data-related challenges, are passionate about building scalable data infrastructure, and are eager to see the direct consequences of your work on our business, we encourage you to apply!
The Infrastructure Services Programs and Solutions team is looking for a passionate, self-motivated and hard-working engineer to be part of a diverse, fast paced and high-energy team. We are seeking an experienced Data Engineer to build high quality, scalable and resilient distributed systems that power the analytics platform and data pipelines. As a key player in our data initiatives, you will be instrumental in defining and delivering robust cloud-based analytical and big data solutions that drive significant business impact.
If you thrive on solving complex data-related challenges, are passionate about building scalable data infrastructure, and are eager to see the direct consequences of your work on our business, we encourage you to apply!
Description
In this role, you will be at the forefront of designing, building, and operating innovative data solutions that are not only scalable but also adept at applying various technologies and frameworks to meet our complex business needs.
Responsibilities:
Collaborate with data scientists, data engineers, and partners to support data modeling, analysis, and reporting needs.
Take ownership of individual platform components and help set the vision and architecture for it.
Identify requirements of new features, and propose design and drive the solution.
Use open source framework to build applications
Build generic and reusable solutions that can scale and use various technologies and frameworks to address complex business requirements
Building data warehouse solutions on cloud platforms, leveraging technology like AWS Redshift or Snowflake, and optimizing performance and cost for large-scale workloads
Responsibilities:
Collaborate with data scientists, data engineers, and partners to support data modeling, analysis, and reporting needs.
Take ownership of individual platform components and help set the vision and architecture for it.
Identify requirements of new features, and propose design and drive the solution.
Use open source framework to build applications
Build generic and reusable solutions that can scale and use various technologies and frameworks to address complex business requirements
Building data warehouse solutions on cloud platforms, leveraging technology like AWS Redshift or Snowflake, and optimizing performance and cost for large-scale workloads
Minimum Qualifications
- B.S in Computer Science, Mathematics, Statistics or similar field or equivalent experience.
- 3+ years of industry experience in at least one or more of the following Data Engineering, Data Architecture, Dimensional Modeling, or Data Warehousing
- ETL experience to design and build custom data pipelines using languages such as SQL, and Python
- Experience in databases like MPP/NoSQL (Vertica, Snowflake, Redshift) to build metrics at scale
- Experience in designing streaming data pipeline such as Kafka or Spark
Preferred Qualifications
- M.S in Computer Science, Mathematics, Statistics or similar field
- 5+ years of experience in architecting and building data warehouse solutions on cloud platforms, leveraging technology like AWS Redshift or Snowflake, and optimizing performance and cost for large-scale workloads
- Experience with version control systems, CI/CD practices, testing, and migration tools for database and software
- Experience in backend API development and management using Java
- Proficiency in advanced SQL, performance tuning
- Experience automate testing, data verification, and deployments
- Ability to present and articulate key performance metrics to stakeholders and executives.
- Knowledge of data visualization tools like Tableau or PowerBI
