About this Role:

Due to high demand from clients, we are looking to expand our data practice area to further specialize in data services. We are expanding past remote IT and software engineers to provide our clients with Data Engineers, Scientists, and Analysts as well as managing their data teams, delivering tailored data solutions.. The successful applicant will have spent time as a senior data engineer working through builds (examples: data pipelines, warehouses, architecture, migrations, batch processes, etc.).  Experience in consulting for external clients is strongly preferred in addition to proven experience constructing solutions that meet client needs.  

Objectives of this Role

• In-Depth knowledge of data engineering processes- Examples: CI/CD (continuous improvement/continuous development) data pipelines, real time and batch oriented architectures and/or Data Science solutions- Examples: statistical modeling, model performance, automating model results)
• Working knowledge of modern data processing solution technologies (Apache Airflow, Kafka, Python, etc)
• Build client facing presentations to highlight the Data Engineering/Science Practice Area and our in our talent network
• Provide consultative mentorship to our clients on their data engineering approaches and input in client proposals when vital
• Focus on joining up the vital partners across departments to assist in go-to-market strategies
• Build technical partnerships with commercial organizations such as major cloud providers, (Astronomer, Confluent, etc) and collaborate within the organization (Marketing, Sales, etc.) to fully vet partners and structure partnerships
• Stay relevant and up to speed with latest data products & solutions
• Cross-sell data projects for key clients, growing revenue and producing case studies to promote the data insights services

Daily/Monthly Objectives

• Seek to understand Andela’s unique offering and further define our data engineering/science capabilities for client solutions
• Partner with delivery teams to deliver qualified talent and client projects in the areas of data engineering/science Examine data, processes, and technologies to evaluate the current state and critical problems for external client projects
• Identify/ train appropriate Andela talent on Data Engineering best practice
• Train and mentor teams in data principles to increase revenue for data practices

Qualifications

• Exceptional  conceptual and hands-on experience with:
• Data Engineering and/or Science Solutions
• Presentation and Visualization for multiple audiences
• Data Orchestration 
• Data Governance and Literacy
• Skills:
• Strong client-facing experience as a data consultant
• Keen eye for detail
• Proactive, self-sufficient, positive demeanor
• Quick on your feet and flexible demeanor

Preferred Qualifications

• 5-7 years of data engineering/science experience
• Bachelor’s or Master’s degree
• Experience taking care of various senior partners across the business

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