Blue Chip Talent is an award-winning, woman-owned staffing company that works hard to “Advance Careers Daily”.
We pride ourselves on building lasting relationships. We do this through our unique ongoing touchpoint program, personalized orientation, bi-yearly appreciation lunches, company-sponsored charitable events, and our flagship family Woodward Dream Cruise event.
We also offer industry-leading benefit options:
· Four (4) healthcare plans to choose from
· PTO & Paid Holidays
· Dental & Vision insurance
· Company-paid life insurance
· Long and short-term disability
· 401k with yearly arbitrary match
· Pet insurance
You can count on Blue Chip Talent to be your reliable career coach and advocate. We look forward to connecting with you and guiding you on your career goals.
What you'll be doing:
- Design and implementation of complex cloud solutions using Microsoft Azure, focusing on integration with Databricks and Azure Data Factory.
- Develop and maintain scalable and efficient data pipelines and architectures.
- Ensure optimal architecture and performance of applications deployed on Azure.
- Provide expertise in cloud security, ensuring compliance with industry standards and company policies.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
- Manage the full lifecycle of data and analytics solutions, from requirements gathering to deployment and maintenance.
What you'll need:
- Bachelor's degree in science, Technology, Engineering, or Mathematics.
- 7+ years of experience as a data engineer, with strong proficiency in Azure cloud services, Databricks, and Azure Data Factory
- 3+ years of experience with designing and implementing data solutions using Azure Cloud.
- Azure Data Engineering or Databricks Certification.
- Strong knowledge of programming languages such as Python, SQL, or Scala.
- Experience with data modeling, ETL/ELT development, data integration and orchestration techniques
- Experience with designing and developing end-to-end data and analytics solutions leveraging Azure Data Lake, Azure Databricks, and Data Factory
