Data Integration Specialist

Job Title: Data Integration Specialist

Location: St. Petersburg, Florida. Onsite

Education and Experience:

• Minimum of a bachelor's/master s degree in Computer Science, Information Technology, Data Science, or a related field
• Minimum of 5 to 8 years of proven experience in data integration and complex data integration projects, including requirement gathering, design, testing, and quality assurance

Submit your resume, transcripts, and three references

Data Integration Specialist specializing in justice system analytics to join our dynamic data analytics team. Your primary responsibilities include gathering and documenting requirements, translating business needs into technical specifications, contributing to data integration design, conducting testing and quality assurance, troubleshooting complex issues, and serving as a subject matter expert. This position offers the opportunity to work directly with leading policymakers on projects with immediate real-world impact.

Responsibilities:

Requirements Gathering and Documentation

• Gather, analyze, and document data integration requirements and translate those requirements into functional and technical solutions
• Ensure clear and comprehensive documentation detailing project specifications and objectives, ETL processes, data models, and data lineage

Technical and Non-Technical Collaboration

• Bridge the gap between technical and non-technical stakeholders, translating business needs into technical specifications
• Facilitate communication and understanding between clients, stakeholders, and the data analytics team

Data Integration Design

• Contribute to the design and architecture of data integration solutions, aligning them with project goals and adhering to industry best practices
• Strategize and develop data models, integration processes, and transformations to consolidate data from disparate sources

Testing and Quality Assurance

• Conduct extensive testing and quality assurance to ensure the accuracy and reliability of data integration solutions
• Implement comprehensive data validation procedures to maintain data integrity

Complex Issue Troubleshooting

• Investigate and resolve complex data integration issues using advanced troubleshooting skills and technical expertise
• Proactively identify potential challenges in data integration to minimize operational disruptions

Mentoring and Subject Matter Expertise

• Offer team members technical guidance, mentorship, and support
• Establish yourself as a subject matter expert in data integration within the criminal justice system, continuously updating knowledge on industry trends and technologies

Education and Experience:

• Minimum of a bachelor's/master s degree in Computer Science, Information Technology, Data Science, or a related field
• Minimum of 5 to 8 years of proven experience in data integration and complex data integration projects, including requirement gathering, design, testing, and quality assurance

Technical Skills:

• Expert knowledge of data integration tools and technologies like ETL platforms, APIs, data warehousing, transformation tools, and related software
• Proficiency in designing and building data models that efficiently consolidate data from disparate sources
• Strong understanding of scripting languages like SQL or Python for data manipulation and transformations
• Expertise in data quality testing, validation, and cleansing techniques
• Advanced troubleshooting skills to identify and resolve complex data integration issues

Non-Technical Skills:

• Ability to gather, analyze, and document data integration requirements from stakeholders
• Excellent communication skills to bridge the gap between technical and non-technical stakeholders, translate business needs, and facilitate team collaboration
• Deep understanding of data integration challenges and best practices within the criminal justice system
• Ability to analyze complex data integration issues, identify root causes, and develop practical solutions

Please submit a resume, transcripts, and three references