Manager, Data Engineering

Manager Job Responsibilities

Department Objectives: Accomplish department objectives by managing staff; planning and evaluating department activities.
Recruiting: Maintain staff by recruiting, selecting, orienting, and training employees.
Work Environment: Ensure a safe, secure, and legal work environment.
Gather Metrics: Report on metrics gathered including the throughput and quality,
Personal Growth: Develop personal growth opportunities.
Staffing: Accomplish staff results by communicating job expectations; planning, monitoring, and appraising job results. Coach, counsel, and discipline employees.
Develop Processes: Develop, coordinate, and enforce systems, policies, procedures, and productivity standards.
Metric Gathering: Establish strategic goals by gathering pertinent business, financial, service, and operations information.
Define objectives: Identify and evaluate trends and options, choose a course of action, and evaluate outcomes.
Financial Monitoring: Accomplish financial objectives by forecasting requirements, preparing an annual budget, scheduling expenditures, analyzing variances, and initiating corrective actions.
Quality Enforcement: Maintain quality service by enforcing quality and customer service standards, analyzing and resolving quality and customer service problems, and recommending system improvements.
Team Leadership: Lead, motivate, and manage a team of Data Engineers setting clear goals, priorities, and expectations. Contribute to team effort by accomplishing related results as needed.
Project Planning: Develop project plans and strategies for web scraping initiatives, ensuring efficient and ethical data collection.
Quality Control: Implement quality assurance processes to maintain data integrity, accuracy, and consistency across all scraping projects.
Resource Allocation: Assign tasks and projects to team members based on their skills, availability, and project requirements.
Training and Development: Provide training, mentorship, and guidance to team members to improve their web scraping skills and knowledge.
Monitoring and Reporting: Oversee the progress of ongoing scraping projects, track key performance indicators (KPIs), and report to higher management.
Collaboration: Collaborate with other teams, such as data analysts, data scientists, and developers, to meet data requirements and provide support for their projects.
Technology and Tool Selection: Stay up-to-date with the latest web scraping tools and technologies, evaluating their potential to enhance the team's efficiency.
Documentation: Maintain detailed documentation of scraping processes, methodologies, and data sources.

Manager Qualifications / Skills

Performance management
Project management
Coaching / Supervision
Quality management
Results driven
Budget development
Standards development
Foster teamwork
Handle pressure efficiently
Proven experience in web scraping and data extraction, with a strong understanding of web scraping best practices, ethical considerations, and data privacy regulations. 
Prior experience in team management and leadership, with the ability to effectively lead, mentor, and motivate a team. 
Proficiency in programming languages commonly used in web scraping, such as Python, JavaScript, or others. 
Knowledge of HTML, CSS, and web page structures. 
Familiarity with data storage and database management systems. 
Excellent problem-solving skills, attention to detail, and the ability to manage multiple projects simultaneously. 
Effective communication and teamwork skills. 
Bachelor's degree in a related field is a plus, but not mandatory.

Education, Experience, And Licensing Requirements

High school diploma, GED, or equivalent
Bachelor’s degree in business administration or management preferred
Excellent communication skills
10+ years’ experience in an office setting
10+ years’ experience managing people
Proficiency with office software