Job Description
Luth Research seeks a Data Engineer that will be 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 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 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:
- 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 Management, Development, and Data teams to develop, architect, implement, and deploy systems and processes supporting company goals listed above in the Position Purpose.
- Build QA checks and planning into the development process and actively work with management, data, and QA teams in ensuring all releases are bug free and ensures quality and usability across the organization to drive growth and profitability.
- Support Management in creating technical documentation and test plans to ensure features are documented and progress is communicated clearly and concisely across the organization to ensure cohesion and maximum effectiveness in testing, launching, and understanding newly developed/enhanced products and services in order to increase client satisfaction.
- Actively participate in discussions with Management, Development, and Data teams to provide suggestions on direction and architecture of upcoming projects to ensure the team is communicating with each other in a professional matter in order to promote cohesion, comprehension, and a clear goal to work towards which would lead to increased productivity and accuracy.
- Work effectively across various data systems (i.e., OLTP databases, Data warehouses, HDFS, etc.) using specific programming languages (i.e., Python, SQL and SPARK) to best support the team and provide efficient and productive strategies to ensure quality and accuracy.
- Define data quality plans to address data quality issues; work with business users to build business understanding of data issues 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 and proficiency within the organization.
- Practice and demonstrate exemplary work ethics, self-motivation in learning and taking on new challenges to support sales for the company 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.