Job Description
Leverage analysis design techniques to solve business problems using information technology to operationalize data and analytical models to drive long-term business results.
Job Responsibilities
How you will contribute
You will:
Partner with MDS in providing accessibility, retrievability, security and protection of data in an ethical manner.
Parter with Product Owners, BI Developers and Business Leads to conduct business requirement gathering & continuous improvement sessions to support the business and understand requirements for analytical projects and develop necessary requirement documents and acceptance criteria to support their development in line with process guidelines
Develop UAT (User Acceptance Testing) and SIT (System Integration Testing) test cases based off analytical data product requirements.
Support for scoping, building, testing, and maintaining transport/data pipelines and retrieving applicable data sets for specific use cases.
Support building, testing, and maintaining data models with the flexibility to change when business requirements change, while also reconciling multiple logical source models into a single, logically consistent model.
Analyze the structure, format, and reliability of new and existing data sources, considering factors such as data integrity, completeness, accuracy, and drive continuous improvement.
Participate in data governance processes to ensure data is properly maintained and document for reusability by the business
Understand data and metadata to support consistency of information retrieval, combination, analysis, pattern recognition and interpretation.
What you will bring
A desire to drive your future and accelerate your career and the following experience and knowledge:
Understanding of Data Engineering concepts within a business setting, including working with multiple systems such as SAP, internal and external data sources. Experience in developing, enhancing, testing, and maintaining data products.
Experience in using diverse range of languages and tools, including scripting languages, for data extraction, transformation, storage, processing, and integration.
Analyze business requirements as a guide for data modeling and apply data analysis, design, modeling, and quality assurance techniques, continuous improvement, based on a detailed understanding of business processes, to establish, modify or maintain data structures and associated components (entity descriptions, relationship descriptions, attribute definitions).
Ability to simplify complex problems and effectively communicating technical concepts to a diverse audience.
More about this role
What extra ingredients will you bring:
Cloud computing technologies (Azure, GCP)
Programming Languages: SQL, Python, PySpark (Apache Spark), DAX, etc.
Analytics platforms: Databricks, Google Cloud Dataproc, etc.
Experience with CI/CD, DevOps, and DataOps techniques.
Experience with ETL, Data pipelines and architecture
Technical Documentation
Experience in data modelling and wrangling techniques and tools i.e., Star Schema, Snowflake Schema, Data vault, Alteryx, Power BI, Tableau, etc.
Data quality and profiling methods
Numbers & Facts
| Location | East Hanover, NJ |
| Job Type | Contractor |
| Industry | Staffing/Employment Agencies |
| Salary | $35–$40 Per Hour |
| Company Size | 501 - 1000 |
| Year Founded | 1998 |
| Headquarters | Farmington Hills, MI, US |
| Website | http://www.kyyba.com/ |
Qualifications
Education / Certifications:
Bachelor’s degree in a related field. BS Computer Science, Information Systems, etc.
Job specific requirements:
1+ years Data Engineering/Modeling
3+ years Database Design
Benefits
Medical, Dental, Vision
About Company
About Kyyba:
· Founded in 1998 and headquartered in Farmington Hills, MI, Kyyba has a global presence delivering high-quality resources and top-notch recruiting services, enabling businesses to effectively respond to organizational changes and technological advances.
· At Kyyba, the overall well-being of our employees and their families is important to us. We are proud of our work culture which embodies our core values; incorporating value, passion, excellence, empowerment, and happiness, creates a vibrant and productive atmosphere. We empower our employees with the resources, incentives, and flexibility that they need to support a healthy, balanced, and fulfilling career by providing many valuable benefits and a balanced compensation structure combined with career development.
Disclaimer:
· Kyyba is an Equal Opportunity Employer.
· Kyyba does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. Minorities / Females / Protected Veterans / Individuals with Disabilities are encouraged to apply. All employment is decided on the basis of qualifications, merit, and business need.”
· It is the policy of Kyyba to provide reasonable accommodation when requested by a qualified applicant or employee with a disability, unless such accommodation would cause an undue hardship. The policy regarding requests for reasonable accommodation applies to all aspects of employment, including the application process. If reasonable accommodation is needed, please contact Kyyba at 248-813-9665
Rewards:
· Medical, dental, vision
· 401k
· Term life
· Voluntary life and disability insurance
· Optional Pre-paid legal plan
· Optional Identity theft plan
· Optional Medical and dependent FSA
· Work-visa sponsorship
· Opportunity for advancement
· Long-term assignment with opportunity for hire by client
SELECT AWARDS:
· An INC 5000 company for 10 years
· Corp! Michigan Economic Bright Spots
· Crain’s Detroit Business Top Staffing Service Companies in Detroit
· TechServe Alliance Excellence Award- IT and Engineering Staffing & Solutions
· Best of MichBusiness winner in HR Wizards & Partnerships
· Metro Detroit Elite Category: Recruitment, Selection & Orientation for 101 Best & Brightest
· 101 Best & Brightest Companies to Work for in Michigan
Skills
- Database Design
- Data Engineering
- Data Modeling
- Databricks
- DataOps techniques
- Data Pipeline
- Azure
- GCP
- Dimensional Modeling
- Star Schema
- Snowflake Schema
- data vault
- Database Extract Transform and Load (ETL)
- PYSPARK
- Spark
- DATA GOVERNANCE
- Data Profiling
Skills
- Analysis Skillsunmatched
- Data Analysisunmatched
- Data Modelingunmatched
- Information Technology & Information Systemsunmatched
- Problem Solving Skillsunmatched
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