Data Engineer

Data Engineer (4 years and up experience)

Job Description

• Utilize technical and industry knowledge to drive multiple data projects across different analytics platforms & data domains
• Identify, analyze, evaluate, and develop data products
• Design and build the data infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of sources using SQL and big data and cloud technologies
• Collaborate with cross-functional teams and leadership to identify and evaluate opportunities, issues, and trends to drive results throughout the organization
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Create data tools for analytics and data scientist team members to help drive decisions across business • Partner with analysts leveraging engineering skill and data knowledge to provide input on feasibility of requirements
• Responsible for the accuracy, completeness, timeliness, and validity of all data
• Formulates, implements, and enforces proper data collection policies and procedures
• Assists with troubleshooting and driving quality and stability of our production solutions
• Acts as a mentor to lead peers in a project and present outcomes to management
• Acts as a technical lead and subject matter expert for the project team on data, data platform, and data engineering related requirements including integration tools and best practices used in analytics.

Job Qualifications:

• Graduate with bachelor degree in Engineering, Computer Science, Statistics, Physics or Data Science is preferred.
• Minimum of 5 years relevant experience in Data Engineering is a must.
• Strong sense of drive, ability to solve problems, and think analytically
• Strong attention to detail with thorough knowledge of SDLC concepts and overall software engineering process.
• Experienced in Python and AWS