Big Data Engineer - Wallet & Apple Pay at Apple (Hyderabad, India)

Big Data Engineer - Wallet & Apple Pay at Apple (Hyderabad, India)


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Location: Hyderabad, India
Type: Full Time
Created: 2021-09-26 05:00:20

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We at Apple are looking for dedicated individuals to join our team to build data foundations and tools to craft the future of commerce and Apple Pay! You will design and implement scalable, extensible and highly-available data pipelines on large volume data sets, that will enable impactful insights & strategy for payment products. We believe in getting things done iteratively and rapidly, with open feedback and debate along the way. 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 technology, to make decisions that improve the customer experience of using our services. This will include demonstrating large data sources, helping derive meaningful insights, delivering multifaceted, and bringing our data to life via amazing visualizations. Partnering with the head of Wallet Payments & Commerce Data Engineering & BI, you will collaborate with various data analysts, instrumentation professionals and engineering teams to identify requirements that will derive the creation of data pipelines. 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 pivotal role in helping the analysts & business users make decisions using data and visualizations. You will partner with key associates across the engineering, analytics & business teams as you design and create query friendly data structures! The ideal candidate is a self-motived team member, skilled in a broad set of data processing techniques with the ability to adapt and learn quickly, provide results with limited direction, and choose the best possible data processing solution is a must.Translate business requirements by business team into data and engineering specificationsBuild scalable data sets from available raw data and derive business metrics/insightsWork with engineering and business partners to define and implement the data engagement relationships required with partnersUnderstand and identify server APIs that need to be instrumented for analytics reporting and align the server events for execution in already established data pipelinesExplore and understand data sets, identify and formulate correlational rules between heterogeneous data sources Process, clean and validate the integrity of data used for analysisDevelop Python and Shell Scripts for data ingestion from external data sources for business insightsWork hand in hand with the DevOps team and develop monitoring and alerting scripts on various data pipelines and jobs