Company:
Capleo Global
Location: Trenton
Closing Date: 20/10/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
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
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
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