Data Conversion Specialist

Vintti is a specialized staffing agency that believes diversity is the catalyst for innovation. We connect US-based SMBs, startups, and firms with exceptional talent from Latin America, fostering a rich tapestry of cultural perspectives within American businesses. Our unique position allows us to handpick professionals who not only possess the required skills but also bring fresh ideas and global insights to the table. Vintti's services go beyond filling positions; we enrich company cultures and expand business horizons on an international scale.

A Data Conversion Specialist is a key player in ensuring seamless data transitions across various systems. This role involves the meticulous transformation of data formats, structures, and repositories to align with new platforms or evolving business requirements. Specialists collaborate with cross-functional teams to analyze legacy data, define conversion rules, and implement processes that guarantee data integrity and accuracy. By leveraging advanced tools and methodologies, Data Conversion Specialists drive efficient migration projects, minimize data loss risks, and enhance the overall quality of the converted data, supporting organizational agility and continuity.

- Bachelor's degree in Computer Science, Information Technology, or related field
- Proven experience as a Data Conversion Specialist or in a similar role
- Proficiency in SQL and experience with database management systems (e.g., MySQL, PostgreSQL, Oracle)
- Strong knowledge of data modeling, ETL processes, and data warehousing concepts
- Experience with data mapping tools and techniques
- Proficient in scripting languages such as Python, R, or similar
- Familiarity with data integration tools (e.g., Informatica, Talend, SSIS)
- Strong analytical and problem-solving skills
- Attention to detail and a commitment to data accuracy and consistency
- Ability to work with large datasets and complex data structures
- Excellent communication and collaboration skills
- Experience with data security and privacy best practices
- Ability to work independently and manage multiple tasks simultaneously
- Familiarity with cloud-based data services (e.g., AWS, Azure, GCP) is a plus
- Knowledge of data governance frameworks and standards is a plus
- Experience in creating and maintaining detailed documentation
- Strong organizational skills and attention to detail

- Analyze and interpret complex data structures from multiple sources
- Write and execute scripts for data extraction, transformation, and loading (ETL) processes
- Develop and maintain data mappings to ensure accurate data conversion
- Conduct thorough testing and validation of converted data to ensure accuracy and consistency
- Identify and troubleshoot data inconsistencies and other data-related issues
- Collaborate with stakeholders to understand data requirements and provide solutions
- Create and update documentation for data conversion processes and procedures
- Monitor data conversion pipelines and address any processing errors promptly
- Perform quality assurance checks on data integrity and completeness
- Maintain data security and privacy standards in all conversion activities
- Provide support and training to users on data-related processes and tools
- Generate and analyze reports on conversion status, metrics, and outcomes
- Participate in cross-functional meetings to discuss project progress and challenges

The ideal candidate for the Data Conversion Specialist role is a highly analytical and detail-oriented professional with a robust background in data science or a related field, holding a Bachelor's degree in Computer Science, Information Technology, or a similar discipline. They boast proven experience as a Data Conversion Specialist or in a comparable position, demonstrating adeptness in SQL and various database management systems such as MySQL, PostgreSQL, and Oracle. Proficient in scripting languages like Python and R, and familiar with data integration tools such as Informatica, Talend, and SSIS, they exhibit strong knowledge of data modeling, ETL processes, and data warehousing concepts. This candidate excels in data mapping techniques and maintains a commitment to data accuracy and consistency, showcasing exceptional problem-solving skills and the capacity to work with complex data structures and large datasets. They are self-motivated, capable of working independently, and possess outstanding organizational skills, enabling them to manage multiple tasks efficiently. Their excellent communication and collaboration abilities allow them to work effectively with stakeholders, translating complex technical concepts into user-friendly terms. With a strong adherence to data security and privacy best practices, experience with cloud-based data services, and a thorough approach to quality assurance, they are proactive in identifying issues and finding innovative solutions. Their passion for data and technology, combined with high integrity and reliability in handling sensitive information, make them an exemplary fit for our team.

- Analyze and interpret complex data structures from multiple sources
- Write and execute scripts for data extraction, transformation, and loading (ETL) processes
- Develop and maintain data mappings to ensure accurate data conversion
- Conduct thorough testing and validation of converted data to ensure accuracy and consistency
- Identify and troubleshoot data inconsistencies and other data-related issues
- Collaborate with stakeholders to understand data requirements and provide solutions
- Create and update documentation for data conversion processes and procedures
- Monitor data conversion pipelines and address any processing errors promptly
- Perform quality assurance checks on data integrity and completeness
- Maintain data security and privacy standards in all conversion activities
- Provide support and training to users on data-related processes and tools
- Generate and analyze reports on conversion status, metrics, and outcomes
- Participate in cross-functional meetings to discuss project progress and challenges

- Strong analytical and critical thinking skills
- Detail-oriented with a commitment to data accuracy
- Excellent problem-solving capabilities
- Self-motivated and capable of working independently
- Effective communication skills, both written and verbal
- Collaborative and able to work well in a team environment
- Strong organizational skills with the ability to manage multiple tasks
- Adaptable and able to quickly learn new tools and technologies
- Proactive in identifying issues and finding solutions
- Technically skilled in relevant programming and scripting languages
- Knowledgeable in best practices for data security and privacy
- Thorough in conducting quality assurance and validation processes
- Passionate about data and technology
- Ability to translate complex technical concepts into user-friendly terms
- High integrity and reliability in handling sensitive data

- Competitive salary range based on experience
- Comprehensive health, dental, and vision insurance
- 401(k) retirement plan with company match
- Paid time off (PTO) including vacation, sick days, and holidays
- Flexible work hours and remote work options
- Health and wellness programs
- Professional development and continuous learning opportunities
- Tuition reimbursement for relevant courses and certifications
- Employee assistance program (EAP)
- Career advancement opportunities within the company
- Collaborative and inclusive work environment
- Company-sponsored social and networking events
- Access to cutting-edge technology and tools
- Performance-based bonuses and incentives
- Life and disability insurance
- Gym membership or fitness class reimbursement
- Commuter benefits and transportation reimbursement
- Employee referral program bonuses