
About Apple
The personal technology company redefining user experience
Key Highlights
- Market cap of $3 trillion as of 2022
- Over 1 billion active devices worldwide
- Comprehensive medical plans including mental healthcare
- Paid parental leave and gradual return-to-work program
Apple Inc. (NASDAQ: AAPL), headquartered in Cupertino, CA, is the world's most valuable company with a market capitalization of $3 trillion as of 2022. Known for its iconic products such as the iPhone, iPad, and Mac, Apple serves over 1 billion active devices globally. The company has a strong commi...
🎁 Benefits
Apple offers comprehensive medical plans covering physical and mental healthcare, paid parental leave, and a gradual return-to-work program. Employees...
🌟 Culture
Apple's culture emphasizes an obsessive focus on user experience and consumer privacy, setting it apart from competitors. The company promotes inclusi...
Overview
Apple is hiring an Analytics Data Engineer for the Siri Quality Engineering team to build a reliable data lake and drive operational decisions. You'll work with SQL, Python, and AWS technologies. This position requires experience in data engineering and analytics.
Job Description
Who you are
You have a strong background in data engineering with at least 3 years of experience in building and maintaining data pipelines — you've worked with data lakes and understand the importance of data governance and quality. Your expertise in SQL and Python allows you to manipulate and analyze large datasets effectively, ensuring that data is accurate and accessible for decision-making.
You are familiar with cloud technologies, particularly AWS, and have experience with tools like Apache Spark and Airflow for data processing and orchestration — you understand how to leverage these technologies to create efficient data workflows. Your analytical mindset enables you to derive insights from complex data sets, and you are comfortable presenting your findings to stakeholders.
What you'll do
As an Analytics Data Engineer, you will be responsible for designing and implementing data pipelines that support the Siri Quality Engineering team — your work will ensure that data is curated, accurate, and reliable for various analytics needs. You will collaborate with cross-functional teams to understand their data requirements and advocate for the necessary changes to improve data quality and accessibility.
You will build a governed lakehouse architecture that supports point-in-time and near-real-time data processing — this involves creating a clear semantic layer that allows teams to trust and utilize the data effectively. Your role will also include publishing certified metrics and models that are used in executive-facing reports, contributing to the overall product quality and decision-making processes across Apple platforms.
What we offer
At Apple, you will be part of a diverse and inclusive team that values creativity and innovation — we encourage you to apply even if your experience doesn't match every requirement. You will have the opportunity to work on impactful projects that change lives for the better, and your contributions will directly influence the quality of our products.
We provide a collaborative work environment where your ideas are valued, and you will have access to continuous learning and development opportunities — we believe in empowering our employees to grow and succeed in their careers. Join us and be part of a team that is dedicated to making a difference through technology.
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