Online Data Engineer Manager

Job not on LinkedIn

November 9

Apply Now
Logo of The Home Depot

The Home Depot

Retail • B2C

The Home Depot is a leading home improvement retailer, offering a wide range of building materials, home improvement products, lawn and garden products, and related services. The company operates both physical stores and an online platform, providing comprehensive solutions for DIY enthusiasts, professional contractors, and homeowners. The Home Depot is committed to diversity, equity, and inclusion, providing employment opportunities and benefits to a diverse workforce. Additionally, the company places a high emphasis on customer service and associate engagement to maintain its position as a trusted leader in the home improvement industry.

10,000+ employees

Founded 1978

🛒 Retail

👥 B2C

💰 Debt Financing on 2007-07

📋 Description

• Provide leadership, mentorship and coaching to Data Engineers (individual contributors) and evaluate performance, execution, and contribution; • Attract, retain and develop top talent to build an effective and high performing team; • Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress; • Ensure appropriate processes and job-specific requirements are properly documented; • Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team; • Manage resources effectively to align with strategic initiatives and business needs; • Foster collaboration with team members to develop a supportive and engaged team; • Support team in the design and development of algorithms and models to use against large datasets to create business insights; • Drive team’s results and celebrate accomplishments. • Prioritize and assign projects by balancing various factors; • Manage programs for the team to ensure consistency of execution, balance of resources and quality solutions; • Collaborate with program managers and business partners to align on objectives; • Serve as escalation point for any issues with specific projects; • Provide executive updates to leaders at all levels on program effectiveness.

🎯 Requirements

• Must be 18 years of age or older. • Must be legally permitted to work in the United States. • Experience managing and growing team members in a professional setting. • Demonstrated proficiency in guiding more junior team members through data modeling, mining, and data analysis. • Masters in a quantitative field (Analytics, Computer Science, Math, Physics, Statistics, etc.) or relevant work experience preferred. • Previous people or project team management experience preferred. • Mastery of writing SQL queries against a relational/column-based database. • Proficient building ETL/data pipelines. • Mastery of a modern scripting language (preferably Python). • Proficient stitching and maintaining data from multiple sources using tools like Google BigQuery and Python. • Experience with JavaScript, Front-end development frameworks (React, Nucleus), and QA apps (Retina, KPI Shield, Alert Goose) [John's Team] preferred. • Ability to produce tags for site data [John's Team] preferred. • Experience engineer and automate data flows pipelines (using tools like PySpark, AirFlow, or DataProc). • Knowledge of optimizing pipeline run time and lowering the cost on slots/storage consumption.

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work arrangements • Professional development opportunities • Paid time off

Apply Now

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