The Home Depot
Online Data Engineer
STORE SUPPORT CENTER, ATLANTA - 9090
Sponsorship not specifiedDetected 71 days ago
JavaScriptPythonReactData StructuresAlgorithmsSQLBigQueryCI/CDAirflowData AnalysisData EngineeringStatisticsProduct ManagementProduct StrategyProject ManagementLeadershipCommunicationCollaborationPublic SpeakingHadoop
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odds of building a lasting career here
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Cap-exempt (no lottery)0
Sponsors this role65
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- The Data Engineer position applies data extraction, transformation and loading techniques in order to connect large data sets from a variety of sources.
- 10% - Business Collaboration - Incorporate business knowledge into solution approach.
- Prepare reports, updates and/or presentations related to progress made on a project or solution.
Responsibilities
- Work with project teams and business partners to determine project goals.
- Clearly communicate impacts of recommendations to drive alignment and appropriate implementation.
- 55% - Solution Development - Develops algorithms to transform data into useful, actionable information. Design and develop algorithms and models to use against large datasets to create business insights
- Participates in large data analytics project teams by serving as a lead for analytics projects
- May lead small projects and work independently on solution development. Execute tasks with high levels of efficiency and quality
- Participate in the continuous improvement of predictive and prescriptive analytics by developing replicable solutions.
- 55% - Solution Development - Develops algorithms to transform data into useful, actionable information.
- Design and develop algorithms and models to use against large datasets to create business insights; Participates in large data analytics project teams by serving as a lead for analytics projects; May lead small projects and work independently on solution development.
- Project Management & Team Support
- Develops algorithms to transform data into useful, actionable information.
Requirements
- Must be 18 years of age or older.
- Must be legally permitted to work in the United States.
- No travel required.
Nice to have
- Bachelors or Masters in a quantitative field (Analytics, Computer Science, Math, Physics, Statistics, etc.) or relevant work experience.
- Experience in high-level programming languages such as Python
- Experience defining and capturing metadata and rules associated with ETL processes
- Experience writing analytical SQL queries
- 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
Skills
- Data Engineers prepare and manipulate data using Hadoop or equivalent MapReduce platform.
Company info
- 10% - Business Collaboration - Incorporate business knowledge into solution approach. Effectively develop trust and collaboration with internal customers and cross-functional teams
- 20% - Project Management & Team Support - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners
- 10% - Business Collaboration - Incorporate business knowledge into solution approach. Effectively develop trust and collaboration with internal customers and cross-functional teams; Work with project teams and business partners to determine project goals.
- 20% - Project Management & Team Support - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Present recommendations in a confident manner in order to influence execution of recommendation.
- Incorporate business knowledge into solution approach. Effectively develop trust and collaboration with internal customers and cross-functional teams; Work with project teams and business partners to determine project goals.
- Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Present recommendations in a confident manner in order to influence execution of recommendation.
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This listing is sourced directly from The Home Depot's careers page and normalized into a canonical job model.