Online Analytics Engineer

November 27

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The Home Depot

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retail • home improvement • customer service

10,000+

💰 Debt Financing on 2007-07

Description

• Online Analytics Engineer translates business requirements and builds infrastructure for customer data. • Develop algorithms to transform data into actionable insights. • Build and maintain database pipeline architectures. • Use big-data techniques to maintain and update data structures.

Requirements

• Must be 18 years of age or older. • Must be legally permitted to work in the United States. • Masters in a quantitative field (Analytics, Computer Science, Math, Physics, Statistics, etc.) or relevant work experience • Demonstrated knowledge developing and testing ETL jobs/pipelines, configuring orchestration, automated CI/CD, writing automation scripts, and supporting the pipelines in production. • Experience in high-level programming languages such as Python • Experience defining and capturing metadata and rules associated with ETL processes • Experience building Batch and Streaming pipelines • Experience writing analytical SQL queries • Ability to stich and maintain data from multiple sources • Ability to use JavaScript, Front-end development frameworks (React, Nucleus), and QA apps (Retina, KPI Shield, Alert Goose) • Ability to produce tags for site data • Ability to code in Python, Google BigQuery to stitch and enrich the raw data from multiple sources • Ability to use PySpark, AirFlow, and DataProc to engineer and automate data flows pipelines • Ability to optimize the pipelines run time and lower the cost on slots/storage consumption • Ability to prioritize requests and manage a product roadmap • Strong verbal and written communications skills at all levels