Software Engineer (Data Governance)

Requirements

• Deep experience as a Software Engineer or similar role with experience in data governance, data management
• Experience using SQL, Spark/PySpark, Python, Java, or Scala
• Strong understanding of data privacy regulations (e.g., GDPR, EU AI Act, CCPA) and industry best practices
• BS in Computer Science, Mathematics, Statistics or equivalent experience

Nice to Haves

• Proficiency in designing and developing custom ETL pipelines using SQL and scripting languages (Python/Shell) and workflow management tools like Airflow
• Proficiency in SQL within MPP/distributed databases like Apache Druid, Snowflake and Redshift in large-scale environments
• Proven data-driven decision-making skills
• Experience in deploying large-scale streaming data pipelines using Kafka and Spark
• Proficiency in advanced SQL and performance tuning
• Experience with Snowflake AI features like Cortex and DocAI for using machine learning and document processing to improve data workflows and insights
• Experience in backend API development and management using Java, Scala, or Python
• Experience with version control systems, CI/CD practices, automated testing, and migration tools for databases and software
• Experience with Kubernetes and Docker
• Experience with reporting tools like Tableau, Apache Superset, and QuickSight

What You'll Be Doing

• Establishing and maintaining robust data governance frameworks, policies, and standards across Apple
• Collaborating with various teams to drive data governance initiatives forward
• Designing and building innovative data and analytics solutions to meet Apple's complex business needs
• Designing and developing executive reporting solutions to mitigate data governance risks
• Identifying and resolving data discrepancies to create actionable visualizations

Perks and Benefits

• Passionate, self-motivated, and hard-working engineer
• Diverse, fast-paced, and high-energy team
• Building high-quality, scalable, and resilient distributed systems
• Defining and delivering robust cloud-based analytical and big data solutions
• Driving significant business impact