Data Engineer, Apple Ads

Apple • Cupertino, CA

2h

About The Position

The Ad Platforms Data team is seeking a Data Engineer specializing in building high performance data stores to enable next generation analytical solutions. In this role, you will work as a key member of a data-centric team to drive the development, execution, and continuous improvement of core data infrastructure and processes. You will have a key role in the joint design and development of the data model, pipelines, implementation and delivery of the analytical data warehouse supporting our suite of customer experiences in addition to ad hoc and advanced analytics. You will be a key enabler for teams of architects, engineers, analysts, data scientists, and business users. A successful candidate will have experience building data processing pipelines, data models and managing cloud based data warehouse platforms.

Requirements

• Minimum 1+ years experience in Cloud Data Engineering, preferably with a background in computer science, mathematics, or a related quantitative field.
• Expertise in building Cloud Data Warehouses in Snowflake, Redshift, BigQuery or analogous architectures.
• Deep SQL expertise, data modeling, dimensional modeling and experience with data governance.
• Experience with the practical application of data warehousing concepts, methodologies, and frameworks.
• Experience using data processing tools and technologies such as Python, Spark, Talend, Informatica, SSIS or DBT.
• Embrace data platform thinking.
• Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, or a related technical field, or equivalent practical experience.

Nice To Haves

• Experience designing and operating petabyte-scale data processing systems.
• Deep expertise in Apache Spark performance tuning and optimization.
• Experience with both batch and real-time/streaming architectures, including Kafka and/or Flink.
• Experience building data platforms or processing frameworks that are reused by multiple teams or pipelines.
• Experience with AWS technologies, including S3 and Kubernetes/EKS or equivalent cloud platforms.

Responsibilities

• Drive the development, execution, and continuous improvement of core data infrastructure and processes.
• Joint design and development of the data model, pipelines, implementation and delivery of the analytical data warehouse.
• Support ad hoc and advanced analytics.
• Enable teams of architects, engineers, analysts, data scientists, and business users.
• Build data processing pipelines and data models.
• Manage cloud based data warehouse platforms.
• Design and develop data pipelines keeping security, scale, uptime and reliability in mind.
• Confidently express the benefits and constraints of technology solutions to technology partners, stakeholders, and team members.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level