Data Engineer Human Capital Only W2
Data Engineer Human Capital Only W2
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1 Vacancy
Job Description
MAVINSYS LLC HIRING for below position please share resume to
Email :
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
Team:
- We are a team of 9 Data Engineers and Analysts Engineering Managers/Leaders
- We have 1 product owner on the team and work with several others directly
- We have a Scrum Master aligned as well
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
Ideal Background: Ideal candidate would have experience in the Human Capital space working with the backend data warehousing of human capital systems
Required:
- 3 years of data engineering experience
- 3 years of full lifecycle application software development experience
- 3 years of modern programming language such as Python Java and 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 Snowflake 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
Preferred:
- 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
Human Capital,ETL
Employment Type
Full Time
Company Industry
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
