Manager Data Engineer (Must have professional experience with Spark, Python, and managing a team))
Job Description
Luth Research seeks a Manager Data Engineer that will manage and direct/support the Data Engineering team through developing repeatable, documented, and data-oriented engineering solutions via automation, process improvements, or other similar means while generating improved workflow, user experiences, efficient communication, growth, scalability, increased revenue, and profitability. The Manager Data Engineer will be working in a fast paced and demanding environment and will report directly to the SVP of Digital Operations. If you have experience as a Manager Data Engineer and are interested in working collaboratively in a growth environment, apply to become part of our dedicated team today.
ESSENTIAL JOB FUNCTIONS AND RESPONSIBILITIES:
Guide and direct the strategy, maintenance, and performance of the Data Engineering team’s software components with input from the Operations, Analytics, Software Engineering, and Information Technology teams to ensure optimal delivery pipelines.
Participate in regular meetings with heads of other departments to discuss company’s overall data strategy and how to best improve, plan, and optimize our products and services ensuring improved workflow and client satisfaction.
Understand and manage Spark, Hive, and other HDFS resources, while staying abreast of new technologies, data patterns, and trade-offs of competing technology options to ensure the Company is utilizing available resources at maximum capacity.
Assist, mentor, and lead other members of the team with troubleshooting issues with software components to ensure system downtime is minimized, critical thinking is applied at all levels of the organization, and all timelines are adhered to.
Develop code to support assigned projects and core company initiatives in a clear, concise, and object-oriented way, containing comments, and following standard software development principles/procedures in order to achieve maximum business growth, scalability, profitability, and accuracy.
Work with various internal stakeholders to develop, architect, implement, and deploy documented and tested systems and processes supporting company goals listed above in the Position Purpose.
Define data quality plans to address data quality issues; work with business users to build business understanding of data issues in order to promote accuracy, communication, and client satisfaction along with increased revenue.
Create well-written, clear, concise, and accurate document artifacts including functional specifications, mapping documents process diagrams test plans and test scripts for the purposes of data warehouse construction, report development, verification etc. to allow for consistency, proficiency, and improved workflow within the organization.
Practice and demonstrate exemplary work ethics, self-motivation in learning, and taking on new challenges to support sales for the company in order to strengthen team culture and promote growth and profitability.
Any special projects as requested by senior management that would aid the company in efforts to support one another as a team and provide customer satisfaction in a timely fashion.
Act as support and a liaison with sales team to provide insight on areas of possible growth and development for clients.
Any other tasks and projects as assigned by management.
Qualifications
EDUCATION, EXPERIENCE & SKILLS:
FOR MORE INFORMATION ABOUT LUTH RESEARCH, PLEASE VISIT OUR WEBSITE AT WWW.LUTHRESEARCH.COM.
Luth Research is committed to the principles of Equal Employment Opportunities and to making employment decisions based on merit and value. We will comply with all Federal, State and Local laws providing Equal Employment Opportunities, as well as all laws related to terms and conditions of employment.
Additional Information
All your information will be kept confidential according to EEO guidelines.