Senior Software Engineer - Data (apple)
apple Austin, United States
2024-09-29
Job posting number: #152143 (Ref:apl-200546387)
Job Description
Summary
Athena Platform Services (APS) is looking for a talented Software Data Engineer to play a meaningful role in building data services and platforms that run machine learning analytics to prevent fraud, waste and abuse across Apple. Athena is a machine learning platform committed to providing high-quality, data-driven risk decisioning. We are passionate about operational excellence and providing data-driven solutions with meaningful results!
As a Software Data Engineer, you will be working with large-scale data systems used by data scientists, analysts, and business partners. This position supports both online solutions for near-real-time decisioning, and offline solutions for batch analytics and reporting. JOB IS FROM: italents.netVIEW
As a Software Data Engineer, you will be working with large-scale data systems used by data scientists, analysts, and business partners. This position supports both online solutions for near-real-time decisioning, and offline solutions for batch analytics and reporting. JOB IS FROM: italents.netVIEW
Description
• Engage with business and analytic teams to understand data requirements and translate them into technical solutions
• Build scalable and robust systems that gracefully recover from outages and system issues
• Standardize and implement operational processes for data delivery, maintain SLAs, and ensure content accuracy
• Automate technical solutions that integrate data from a variety of data sources
• Spot and implement optimizations across data usage from multidisciplinary teams
• Ensure data health & quality through monitoring and alerting tools
• Build scalable and robust systems that gracefully recover from outages and system issues
• Standardize and implement operational processes for data delivery, maintain SLAs, and ensure content accuracy
• Automate technical solutions that integrate data from a variety of data sources
• Spot and implement optimizations across data usage from multidisciplinary teams
• Ensure data health & quality through monitoring and alerting tools
Minimum Qualifications
- BS in Computer Science, Computer Engineering, Data Science, Machine Learning or related major
- 5+ years of technical experience designing, building, and maintaining data pipelines and platforms
- Proficiency in implementing data pipelines and applications in a general programming language such as Python, Scala, or Java
- Proven experience working with Spark, Flink, Hadoop, or other distributed data technologies
- Experience working with large-scale data warehouse solutions such as Snowflake, or Redshift and messaging queues like Kafka
- Ability to write efficient & complex queries and ETL jobs that span Petabytes of data
- Ability to debug complex systems and integrations spanning tool chains and teams
Key Qualifications
Preferred Qualifications
- A drive to research and embrace new technologies and languages to solve business goals
- You have seen systems operating at significant technical and organizational scale
- Insight & creativity to see around corners and to design systems in order to mitigate future risk
- MS in Computer Science, Computer Engineering, Data Science, Machine Learning or related major
