04 Nov
Mid Level Data Engineer
Georgia, Atlanta , 30301 Atlanta USA

Mid Level Data Engineer

Skills / experience that are a Plus nice to have , but not necessarily required:
  • Customer Service
  • Problem Solving

Absolute Must Haves: (Manager won t budge on these skills / experience)
  • Communication
  • AWS
  • Analytical

Preferred Location(s): (Immediate Onsite?) Atlanta, GA

Job Description:

Qualifications: Bachelor's Degree 1 or more years' experience in global system support 4 or more years' experience in Information Technology 3 or more years' experience working with Modeling 4 or more years working with data warehousing or data lake solutions and experience with data warehouse modeling methodologies and tools 4 or more years of experience managing a complex database environment including all aspects of architecture Extensive hands on experience managing data from multiple data sources Exposure to at least one of the BI analytical tools (Webi, Lumira, Tableau, Design Studio) Exposure and a basic understanding of data provisioning tools like SLT, SRS Exposure to public clouds such as AWS, Azure, or Google Cloud Platform preferably AWS Experience building enterprise-scale data and analytics solutions High degree of 'learning agility' with the ability to readily consume and apply new information and concepts with developed analytical problem solving skills Good communication skills to articulate model designs Strong communication skills, including with employees, clients, senior management, and vendors Strong results orientation (driving to deadlines, financial targets, project goals, etc.)

Responsibilities: Develop, maintain and oversee automated and scalable ETL/ELT data pipelines to source, process, validate, transform, aggregate, and distribute data Build cloud-based data solutions housing data from various data sources, including RDMS, files, events, and APIs Design and develop RESTful APIs to ingest and retrieve data to/from centralized datastore Design and develop self-service solutions for documentation, data catalogs, dashboards, reports, and integration Develop and maintain data models using the client's data modeling strategy Facilitate modeling sessions and design walk-through reviews with development team members Collaborate with business/technology teams to ensure project and data requirements alignment of business solution definition & technical architecture Provide highly innovative and ingenious solutions Lead troubleshooting efforts on complex performance tuning problems Communicate and articulate model designs to peers, customers, and governance teams Demonstrate BI (Business Intelligence) Analytical tools skillset Develop test plans to ensure quality and accuracy within the CDL solution. Develop and maintain detailed documentation that captures design strategy across data models

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