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Data Engineer - Wallet Payments & Commerce

Austin, TX, USA | Apple

  • Industry:
    Information Technologies
  • Position Type:
  • Functions:
    IT / Information Technology
  • Experience:
    5-7 years
Job Description:
59 people have viewed this job

Working with the head of Wallet Payments & Commerce Data Engineering & BI, this person will collaborate with various data analysts, instrumentation specialists and engineering teams to identify requirements that will derive the creation of data structures and pipelines. You will work closely with the application server engineering team to understand the architecture and internal flows & APIs involved in upcoming and ongoing projects related to Apple Media Products and Apple Pay. We are seeking an outstanding person to play a pivotal 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 structures.

The ideal candidate is a self-motived teammate, skilled in a broad set of Data modeling and processing techniques with the ability to adapt and learn quickly, provide results with limited direction.

Key Qualifications

5+ years of professional experience with Data systems, Data schema, data pipelines

Practical hands-on experience with Teradata and SQL friendly data warehouses.

Expertise in data modeling, data schema design and implementation

Experience in translating the business requirements to a data model that is scalable

Expertise in ANSI SQL, Triggers and Procedures

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

Identify and implement Data Validation rules and alerts based on data publishing specifications for data integrity and anomaly detection

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

Expertise in Oracle, Teradata and Snowflake

Familiarity with rule based tools and APIs for multi stage data correlation on large data sets is a plus


-Translate business requirements by business team into data and engineering specifications

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

-Work with engineering and business partners to define and implement the data engagement relationships required with partners

-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

-Explore and understand complex data sets, identify and formulate correlational rules between heterogenous data sources for effective analytics and reporting

-Process, clean and validate the integrity of data used for analysis

-Develop Python and Shell Scripts for data ingestion from external data sources for business insights

-Work hand in hand with the DevOps team and develop monitoring and alerting scripts on various data pipelines and jobs

Education & Experience

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

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