Job Title: ( Full Stack Engineer (Azure/Databricks/Python) )
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.
Job Description
Required Skills
Azure data services (databricks, data lake, azure SQL, azure app service)
Databricks & big data processing
Advanced SQL & data modeling
Python & SQL
API
CI/CD
5-10 yrs exp
Responsibilities:
Provide Data Intelligence and Data Warehousing (DW) solutions and support by leveraging project standards and leading data platforms
Design and operationalize data science workflows within Databricks, including exploratory analysis, feature engineering, and production-ready analytical datasets integrated into CI/CD pipelines.
Build and maintain Azure data pipelines using DevSecOps process
Define and build data integration processes to be used across the organization
Build conceptual and logical data models for stakeholders and management
Work directly with business leadership to understand data requirements; propose and develop solutions that enable effective decision-making and drives business objectives
Qualifications and Education Requirements:
Master's degree in Information Systems, Computer Science, Engineering, or related field, or the equivalent combination of education, training and experience
Expert skill in Databricks
Advanced skill in Azure SQL, Azure Data Lake, and Azure App Service, Python, T-SQL
Experienced in sourcing, maintaining, and updating data in Cloud environments
Knowledge of and the ability to perform basic statistical analysis
Experienced in the use of ETL tools and techniques
Experience Designing and building of data pipelines using API ingestion and Streaming ingestion methods.
Demonstrates change management and/or excellent communication skills
Understands data warehousing, data cleaning, data quality, data pipelines and other analytical techniques required for data usage
Location : ( Vienna, VA )
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
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
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101 Best & Brightest Companies to Work for in Michigan