Online Analytics Engineer

November 27, 2024

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Logo of The Home Depot

The Home Depot

retail β€’ home improvement β€’ customer service

10,000+ employees

Founded 1978

πŸ›’ Retail

πŸ‘₯ B2C

πŸ’° Debt Financing on 2007-07

Description

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

Requirements

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

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