Online Data Engineer Manager
The Home Depot
- Atlanta, Georgia, United States
- Atlanta, Georgia, United States
À propos
Key Responsibilities:
40% - People Management & Team Leadership - 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.
25% - Project Management & Team Support - Prioritize and assign projects by striking a balance between a variety of factors, like funding, return on investment, innovative or challenging work, among others; 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 and expectations and ensure project teams deliver against them; Serve as escalation point for any issues or difficulties with specific projects; Provide executive updates to leaders at all levels of the organization on program effectiveness, team accomplishments, summary of findings and recommended solution, and explain internal and external impacts.
15% - Strategy & Business Development - Leverage extensive business knowledge and relationships to seek out new business opportunities to leverage and advocate for team’s skills; Effectively develop trust and collaboration with internal customers and cross-functional teams; Ensure alignment with IT support model, collaboration, tools and governance to enable the team to be most effective in executing their roles; Collaborate with other data team managers across the organization to establish high level strategy and optimize talent management.
20% - Technical Exploration & Development - Guide and direct project teams in the requirements gathering, design, and development of complex applications/programs; Drive analytics teams to get matured in predictive and prescriptive analytics; Network with both academic and industry experts to further the application of advanced analytics to business problem.
Direct Manager/Direct Reports:
This position reports to the Senior Manager or Above
This position has 3-4 direct reports
Travel Requirements:
Typically requires overnight travel 5% to 20% of the time.
Physical Requirements:
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions, there may be a need to move or lift light articles.
Working Conditions:
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
Minimum Qualifications:
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
Preferred Qualifications:
Masters in a quantitative field (Analytics, Computer Science, Math, Physics, Statistics, etc.) or relevant work experience
Previous people or project team management experience
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
*NOTE: Below qualifications may be team specific
Experience with JavaScript, Front-end development frameworks (React, Nucleus), and QA apps (Retina, KPI Shield, Alert Goose) [John's Team]
Ability to produce tags for site data [John's Team]
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
Minimum Education:
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.
Preferred Education:
The knowledge, skills and abilities typically acquired through the completion of a master's degree program or equivalent degree in a field of study related to the job.
Minimum Years of Work Experience:
6
Preferred Years of Work Experience:
6
Minimum Leadership Experience:
No previous leadership experience
Preferred Leadership Experience:
1+ year of previous leadership experience
Certifications:
None
Competencies:
Decision Quality
Collaborates
Drives Engagement
Ensures Accountability
Plans and Aligns
Communicates Effectively
Customer Focus
Develops Talent
Drives Results
Manages Conflict
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Compétences linguistiques
- English
Avis aux utilisateurs
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