| Hybrid Position: Senior Data Engineer NO H1b at Remote, Remote, USA |
| Email: [email protected] |
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Position: Senior Data Engineer Duration: 12 Month Contract Location: Remote/Telecommute (Minneapolis, MN) Job Description: Summary of the project: - Working with customers to design data extracts based on their reporting needs - Collaborating with IT Dev Ops partners to ingest extracts into a data warehouse - Creating scalable data pipelines for reporting teams from the data warehouse to our BI tool Ideal Candidate Background: - Ideal candidate would have experience in the Human Capital space, working with the backend data warehousing of human capital systems Required Skills (Must have): 3+ years of data engineering experience 3+ years of full lifecycle application, software development experience 3+ years of modern programming language such as Python, , and Java Scala 2+ years of SDLC experience in an Agile environment Working knowledge of the following business and technology concepts: APIs, CI/CD, Big Data, data architecture and governance Experience with Cloud technologies and platforms such as Docker, OSE, Kubernetes, AWS, , and Azure Experience with Jenkins, GitHub, Big Data technologies like Spark Experience using IDEs such as Eclipse, JBoss, IntelliJ Relational database experience Experience ingesting and working with large and complex datasets Experience gathering requirements from end users Primary Responsibilities: Architect all phases of software engineering including requirements analysis, application design, code development and testing with a focus on business intelligence dataset development Design reusable components, frameworks, and libraries Contribute and make recommendations to the design and architecture to enable secure, scalable, and maintainable solutions Clearly articulate the implications of design/architectural decisions, issues and plans to technology leadership Work collaboratively with People Analytics on the development and production of standard datasets to drive actionable decision making and reporting stability Conduct design and code reviews to ensure code developed meets business needs, coding best practices guidelines, unit testing, security, and scalability and maintainability guidelines Work very closely with architecture groups and drive solutions Assist with updating infrastructure components Use engineering best practices following an Agile methodology to deliver highquality emerging tech solutions Communicate with impact influence and negotiate effectively with all internal and external stakeholders to achieve winwin solutions that advance organizational goals Grow and maintain knowledge of and leverage emerging technologies Develop and analyze highly complex system standards, thresholds, and recommendations to maximize system performance Analyze project requirements and develop detailed specifications for new data warehouse reporting requirements Research API calls and make necessary changes to meet the business, contractual, security, performance needs Assesses and interprets customer requests for feasibility, priority, and complexity Create and maintain internal process documentation Support projects and change initiatives aligned to key priorities of People Analytics and People Analytics customers Understands priorities and organizes prescribed and nonprescribed work to meet or exceed deadlines and expectations Proactively keeps data secure and decommissions legacy content in our environment Serve as a resource to others within the People Analytics community; mentors other data engineers; provides explanations and information to others on difficult issues, problems, and solutions Works with minimal guidance; seeks guidance on only the most complex tasks Coaches, provides feedback, and guides others within the People Analytics community Preferred skills: Experience in data extraction, manipulation, and management. Experience researching issues, investigating data accuracy, and performing quality checks Project Management skills Ability to work independently and collaborate effectively with others Experience creating user stories using the As a (role), I want (function) so that (business value) methodology Basic understanding of statistical methodologies and measurements Experience leading people (directly or indirectly) or largescale projects 1+ years in an agile environment or with agile tools such as Rally or Swift -- Keywords: continuous integration continuous deployment business intelligence information technology Minnesota Hybrid Position: Senior Data Engineer NO H1b [email protected] |
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| 08:25 PM 20-Dec-24 |