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Data Engineer – Strategic Data Solutions


This is a Contract position in Devon, AB posted October 1, 2022.

Summary Posted: Aug 30, 2022 Weekly Hours: 37.5 Role Number: 200353167 Home Office: Yes Apple’s Strategic Data Solutions (SDS) is looking for a talented Data Engineer to play a meaningful role in Apple’s financial products and platforms.

SDS is an applied machine learning organization 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 Data Engineer, you will be working with large-scale data systems used by data scientist, analyst, and business partners.

This position supports both online solutions for near-real-time decisioning, and offline solutions for analytics and reporting.

This position is based in Austin, TX.

Key Qualifications 5 years of technical experience designing, building, and maintaining data warehouses.

Proven experience working with Spark, Hadoop, or other distributed data technologies.

Experience working with large-scale data warehouse solutions such as Teradata, Snowflake, or Redshift.

Proficient in SQL and Python and able to write efficient & complex queries and ETL jobs that span Petabytes of data.

Comfortable picking up and embracing new technologies and languages.

Able to implement data pipelines and applications in a general programming language such as Python, Scala, or Java.

Able to debug complex systems and integrations spanning toolchains and teams.

Has insight & creativity to see around corners and to design systems in order to mitigate future risk.

• Engaging with business and analytic teams to understand data requirements and translating those requirements into technical solutions.

• Standardizing and implementing operational processes for data delivery, maintaining SLAs, and ensuring content accuracy.

• Automating technical solutions that integrate data from a variety of data sources.

• Spotting and implementing optimizations across data usage from multidisciplinary teams.

• Ensuring data health & quality through monitoring and alerting tools.

• Planning robust systems that gracefully recover from outages and system issues.

Education & Experience BS/MS/Ph.D.

in CS, Engineering, Math, Physics, other quantitative field, or equivalent working experience Additional Requirements