Data Engineer
MANN+HUMMEL
Contract Charlotte, North Carolina, United States Posted 3 years ago
About Position
Data Engineer (Contract)
$60.00 / Hourly
Charlotte, North Carolina, United States
Data Engineer
Contract Charlotte, North Carolina, United States Posted 3 years ago
Skills
At least 5 years of experience in a Data Engineer role Strong experience in cloud technologies (AWS/Azure or similar) A history of working with large scale reliable data systems Proficient with cloud technologies and application of native services Experience with big data tools and delivery of big data solutions Experience in working with different types of data stores including SQL NoSQL warehouses lakes etc Experience with data ingestion and data integration tools and frameworks Experience with data pipeline and workflow management Experience with common data science tools such as R python Big data technologies Tableau Required Skills: Proven ability to deliver high profile activities to tight timescales Proven ability to apply analytical and creative thought Ability and desire to learn and pick up new tools and technologies for problem solving enhancing analysis results and accuracy and optimizing workflow efficiency Creative problem-solving skills to address business problems from different perspectives Ability to manage stakeholders and communicate well to all organizational levels Practice a lean agile scrum process to continuously deliver value to customers Ability to interact with global teams and the related cultural challenges Be able to interact with development teams to determine project requirementsDescription
This global position will be responsible for building, managing, and delivering Data Analytics within the organization and accelerate M+H digital transformation. The Data Engineer support to drive M+H s Analytics for internal and external value creation and to increase our financial performance.
Working cross-functionally with business managers/product managers/engineers and data scientists to gather requirements and to understand their business processes
Design, develop, deploy, manage scalable cloud infrastructures that solve business problems
Designing, implementing, and managing optimal data analytics pipelines from end-to-end
Making strategic data architecture recommendations
Implementing data science frameworks to enable organization-wide experiments, enable data science research and development and enable deployment of production solutions
Implementing systems that enable delivery of insights to business units and customers
Apply dev-ops processes to deliver and maintain production level systems
Apply quality processes to ensure the requirements are met
Implement and manage security in accordance with industry standards
Document all aspects of design, implement, test and release
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