Manager – Big Data Engineering – Wallet & Apple Pay – Raleigh Jobs at Apple – Raleigh, NC


Apple jobs in North Carolina, USA – Apply for Manager – Big Data Engineering – Wallet & Apple Pay – Raleigh Jobs at Apple – Raleigh, NC. See job descriptions, requirements, and the link to apply.


Looking for hardworking, passionate and results-oriented individuals to join our team to build data foundations to craft the future of Wallet and Apple Pay. You will design and implement scalable, extensible and highly-available data pipelines on large volume data sets, that will enable measurable insights & strategy for payment products. Our culture is about getting things done iteratively and rapidly, with open feedback and debate along the way; we believe analytics is a team sport, but we strive for independent decision-making and taking smart risks. Our team collaborates deeply with partners across product and design, engineering, and business teams: our mission is to drive innovation by providing the business and data scientist partners outstanding systems and tools to make decisions that improve the customer experience of using our services. This will include using large and sophisticated data sources, helping derive impactful insights, delivering dynamic and intuitive decision tools, and bringing our data to life via amazing visualizations.

Collaborating with the head of Wallet Payments & Commerce Data Engineering & BI, this person will be responsible for data collection and processing for core lines of business and will collaborate with various data analysts, instrumentation professionals and engineering teams to identify requirements that will derive the creation of data pipelines. You will work closely with the application server engineering team to understand the architecture and internal APIs involved in upcoming and ongoing projects related to Apple Pay. We are seeking an outstanding person to play a lead role in helping the analysts & business users make decisions using data and visualizations. You will partner with key partners across the engineering, analytics & business teams as you design and build query friendly data structures.

Key Qualifications

10+ yrs with ETL, BI & Data Analytics

Demonstrated ability with mentoring and leading data engineers

Deep expertise in Data Architecture, Data Modeling and task estimations.

Practical hands-on experience with technologies like Apache Hadoop, Apache Pig, Apache Hive, Apache Sqoop & Apache Spark

Ability to understand API Specs, identify relevant API calls , extract data and implement data pipelines & SQL friendly structures

Expertise in Python, Unix Shell scripting and Dependency driven job schedulers

Expertise in Core JAVA, Oracle, Teradata, Snowflake and ANSI SQL

Excellent time leadership skills and ability to manage work to tight deadlines and handle the pressure of executive requests and product launches


Lead, Mentor and Manage a pool of hardworking Big Data Engineers

Translate business requirements by business team into data and engineering specifications

Design and Build scalable data sets based on engineering specifications from the available raw data and derive business metrics/insights

Understand and Identify server APIs that needs to be instrumented for data analytics and reporting and align the server events for execution in already established data pipelines!

Work hand in hand with the Platform and DevOps team for platform/tool improvements, supervising and alerting on various data pipelines and jobs

Education & Experience

Minimum of bachelor’s degree, preferably in Computer Science, Information Technology or EE, or relevant proven experience is helpful

Role Number: 200288612

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