Summary Posted: Aug 14, 2023 Weekly Hours: 40 Role Number: 200496347 Imagine what you can do here. Apple is a place where extraordinary people gather to do their lives best work. Together we create products and experiences people once couldn’t have imagined, and now, can’t imagine living without. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do. Key Qualifications Key Qualifications Master’s degree or foreign equivalent in Computer Science, Software Engineering, Electrical Engineering, Information Technology or related field and 2 years of experience in the job offered or related occupation. Alternatively, employer will accept a Bachelor’s degree or foreign equivalent in Computer Science, Software Engineering, Electrical Engineering, Information Technology or related field and 5 years of progressive, post-baccalaureate experience in the job offered or related occupation. 1 year of experience with each of the following skills is required: ETL, BI and Data analytics Apache Hadoop, Apache Hive, Apache Sqoop or Apache Spark Extract data and implement data pipelines & SQL friendly data structures Apache AVRO, Apache Parquet and common methods in data transformation Dependency driven job schedulers Teradata or ANSI SQL Description Description Multiple positions available in Cary, North Carolina. Translate business requirements by business team into data and engineering specifications. Build scalable data sets based on engineering specifications from the available raw data. 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. Analyze complex data sets, identify and formulate correlational rules between heterogenous 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. Mentor a team of hardworking engineers. 40 hours/week. Education & Experience Education & Experience Additional Requirements Additional Requirements
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