[ref. f84127001] Mid Level Developer Databricks Certified Tampa

Our company has a client in Tampa, FL that is seeking a Mid-Level Data Developer with Databricks Certification (Advanced Data Engineer Certification or Equivalent Fabric Certification) to design and optimize data solutions that drive business insights and innovation.

Responsibilities:

• Mid-Level Data Developer will design, develop, and maintain scalable data pipelines and workflows using Databricks
• Integrate and process structured and unstructured data us
• ng Delta Live Tables, Streaming Data Processing
• Support and optimize machine learning workflows by preparing and managing training and inference datasets
• Collaborate with data scientists and AI teams to support AI/BI Genie integrations
• Implement Snowflake and Star Schema architectures to optimize data storage and query performance
• Work on BI reporting pipelines to ensure compatibility with advanced analytics tools
• Develop and maintain documentation of data processes and architectures
• As a Mid-Level Data Developer, you will optimize Spark jobs and workflows for performance and cost-efficiency
• Troubleshoot and resolve data quality and pipeline issues
• Stay updated on advancements in data engineering, machine learning, and AI technologies

• Databricks Certification (e.g., Databricks Certified Professional Data Engineer)
• 3-7 years of experience in data engineering roles
• The ideal candidate will have experience in data engineering, an understanding of machine learning workflows, and knowledge of modern data architectures
• Proficiency in Python, SQL, and Apache Spark
• Hands-on experience with Delta Live Tables and big data processing frameworks
• Understanding machine learning models, pipelines, and AI tools
• Familiarity with AI/BI Genie or similar tools for business intelligence
• Experience with Data Warehouse Architecture (e.g., Snowflake, Star Schema, Kimball methodology)
• Knowledge of cloud platforms like AWS, Azure, or GCP
• Strong problem-solving skills and ability to work in a collaborative environment