Cloud Data Developer

Kforce has a client in Miami, FL that is seeking a Cloud Data Developer. Responsibilities:

• Design and implement data pipelines to move and transform data from various sources into cloud-based data warehouses
• Develop and maintain ETL processes using tools such as dbt, Fivetran, Matillion, Snow Streams and tasks, SSIS, SSAS, SSRS, PL SQL and Snowflake Dataflow on AWS
• Good understanding of OLTP and OLAP Cubes, dimensional model
• Optimize data storage and retrieval by designing and implementing data partitioning, indexing, and compression strategies
• Build and maintain data processing infrastructure on cloud platforms such as AWS
• Collaborate with business and analysts to ensure data quality, accuracy, and availability for analysis and reporting
• Led Complex System Design, Integration and Development
• Monitor and troubleshoot data pipelines and infrastructure to ensure high availability and performance
• Implement security and access controls to protect sensitive data in cloud-based environments
• Automate data processing tasks using scripting languages such as Python or Bash
• Research and evaluate new technologies and tools to improve data processing efficiency and scalability
• Mentor and train junior data engineers and provide technical guidance to cross-functional teams
• Perform other job-related functions as assigned
• Work with cross development teams, Data Scientists, Database/ system administrators and Project Management Office as part of Data Engineering team and assist in research, development & implementation of special projects, as needed
• Support existing legacy and new data warehouses
• Bachelor's degree in Computer Science, Engineering, or other related field of study; Or any combination of relevant work experience and education
• Minimum of 7 years of experience developing, validating, and implementing data warehouses, data systems or cloud-based data solutions
• Experience in data engineering with a focus on data warehousing and data products
• Experience with multiple data modeling approaches, SQL, and scripting programming languages like Python and PowerShell
• Experience with Agile methods & tools like JIRA
• Experience leading and coaching team members
• Proven experience in data warehousing technologies, data products, legacy system management, strong communication, and stakeholder engagement abilities
• Experience with traditional on-prem virtual and physical infrastructure, as well as cloud-based environments, preferably AWS
• Experienced with collaboration tools (Jira, Confluence, Lucid Chart)
• Proven success with collaboration between cross functional teams
• Demonstrated understanding of agile methodologies, QA practices and user experience, with strong digital & technical skills
• Strong understanding of databases such as Microsoft SQL Server, Oracle, MySQL, Snowflake
• Excellent understanding of Windows, and Linux based infrastructure
• Working knowledge of various tools, open-source technologies, and cloud services
• Good understanding of source control through GitHub and scheduling pipelines/tasks through Control M
• Strong listening, presentation, and interpersonal skills
• Excellent analytical, problem-solving, verbal, and written communication skills
• Able to prioritize and execute tasks in a high-pressure, fast-paced environment
• Ability to drive results independently
• Preferably has a good understanding of Revenue Management so that candidate can relate things back functionally