Job Title: Tech Specialist Data Integration

Location: Trenton, NJ

Duration: 12 Months

Responsibilities

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

Lead 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

Education And Experience

Minimum of a bachelor's degree in Computer Science, Information Technology, Data Science, or a related field

Minimum of five years of proven experience in data integration and leading 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