Data Engineer, Apple Ads

Apple; Austin (TX); In loco; USD 110.000 - 140.000; Tempo pieno

Descrizione del lavoro

Apple is seeking a Data Engineer for the Ad Platforms Data team in Austin, TX. You will build high-performance data stores and analytical data pipelines supporting customer experiences and advertising analytics.

You will work with architects, engineers, analysts, data scientists, and business users to design data models, pipelines, and cloud-based warehouses, ensuring privacy, security, and scale.

Competenze

• 1+ years of Cloud Data Engineering experience, CS/Math background or related field.
• Expertise building Cloud Data Warehouses in Snowflake, Redshift, BigQuery or equivalents.
• Deep SQL, data modeling, and data governance experience.
• Experience with data warehousing concepts, methodologies, and frameworks.
• Experience using Python, Spark, Talend, Informatica, SSIS or DBT for data pipelines.
• Design data platforms with security, scale, uptime, and reliability in mind.
• Ability to clearly communicate technical concepts to partners and stakeholders.
• Bachelor's degree or equivalent practical experience in a technical field.

Mansioni

• Analyze data model and infrastructure, identify gaps and improvements.
• Collaborate with engineering to support analytics and reporting systems.
• Work with product and analytics teams on data system needs.
• Automate and optimize data processing tasks and patterns.
• Ensure privacy, security, scalability, and reliability of data solutions.
• Guide partners on effective data warehouse usage and best practices.
• Operate effectively as part of a distributed team.

Conoscenze

SQL

Cloud data warehousing

Data modeling

Python/Spark

Data governance

Communication

AWS S3

Kubernetes/EKS

Formazione

Bachelor's degree in CS/SE/CE

Strumenti

Snowflake

Redshift

BigQuery

Python

Spark

Talend

Informatica

SSIS

DBT

Kafka

Flink

AWS S3

Kubernetes/EKS

Descrizione del lavoro

Austin, Texas, United States Machine Learning and AI

At Apple, we focus deeply on our customers' experience. Apple Ads brings this same approach to advertising, helping people find exactly what they're looking for and helping advertisers grow their businesses. Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes—from small app developers to big, global brands. Because when advertising is done right, it benefits everyone.rmant, deployed at scale, and set new standards for enabling effective advertising while protecting user privacy.

Description

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.

Responsibilities

• Analyze our data model and infrastructure, spotting gaps and suggesting architectural improvements.


• Collaborate with engineering teams to design and support the next generation of analytics and reporting systems.


• Work with product and analytics teams to understand their specific data system needs.


• Automate and optimize existing data processing tasks, recognizing patterns and implementing solutions.


• Ensure high performance, privacy, security, scalability, and reliability in our solutions!


• Guide partners on effective use of the data warehouse platform through knowledge sharing and best practices.


• Comfortably work as part of a distributed team.

Minimum Qualifications

• 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, design and develop data pipelines keeping security, scale, uptime and reliability in mind


• Able to confidently express 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.

Preferred Qualifications

• 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.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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

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