Data Engineer, Apple Ads

Apple • Austin, TX

2d

About The Position

The Ad Platforms Data team is seeking a Data Engineer specializing in building high-performance data stores for next-generation analytical solutions. As a key member of a data-centric team, you will drive the development, execution, and continuous improvement of core data infrastructure and processes. You will help jointly design and develop the data model, pipelines, implementation, and delivery of the analytical data warehouse supporting customer experiences, ad hoc analysis, and advanced analytics. The role enables architects, engineers, analysts, data scientists, and business users. The successful candidate will have experience building data-processing pipelines and data models and managing cloud-based data warehouse platforms.

Requirements

• At least 1 year of experience in Cloud Data Engineering.
• Expertise building cloud data warehouses using Snowflake, Redshift, BigQuery, or analogous architectures.
• Deep SQL expertise, data modeling and dimensional modeling skills, and experience with data governance.
• Experience applying data warehousing concepts, methodologies, and frameworks.
• Experience with data-processing tools and technologies such as Python, Spark, Talend, Informatica, SSIS, or DBT.
• Ability to communicate the benefits and constraints of technology solutions to technology partners, stakeholders, and team members.
• 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 batch and real-time or streaming architectures, including Kafka and/or Flink.
• Experience building data platforms or processing frameworks reused by multiple teams or pipelines.
• Experience with AWS technologies, including S3 and Kubernetes/EKS, or equivalent cloud platforms.
• Background in computer science, mathematics, or a related quantitative field.

Responsibilities

• Drive the development, execution, and continuous improvement of core data infrastructure and processes.
• Contribute to the joint design and development of data models and pipelines.
• Support the implementation and delivery of an analytical data warehouse for customer experiences, ad hoc analysis, and advanced analytics.
• Build and manage data-processing pipelines, data models, and cloud-based data warehouse platforms.
• Design and develop data pipelines with security, scale, uptime, and reliability in mind.

What This Job Offers

• Job Type: Full-time