ETL Developer

Vintti is a strategic staffing agency that enhances the competitiveness of US businesses. By connecting SMBs, startups, and firms with highly skilled Latin American professionals, we offer a cost-effective solution to talent acquisition. Our model allows companies to access top-tier expertise at rates that significantly reduce overhead costs, enabling businesses to allocate resources more efficiently and boost their bottom line.

An ETL Developer specializes in designing and implementing processes that extract, transform, and load data from various sources into data systems and repositories. They play a crucial role in data management by ensuring that data is accurately and efficiently transported and transformed to meet business needs. These developers work with complex data pipelines, employ various tools and technologies, and often collaborate with data analysts and other stakeholders to improve data accessibility and quality. Their expertise is key in enabling organizations to harness the power of their data for informed decision-making and operational efficiency.

- Bachelor's degree in Computer Science, Information Technology, or related field
- Minimum of 3-5 years of experience in ETL development
- Proficiency in ETL tools such as Informatica, Talend, SSIS, or similar
- Strong SQL skills and experience with relational databases (e.g., Oracle, SQL Server, MySQL)
- Solid understanding of data warehousing concepts and best practices
- Experience with data profiling, data quality, and data integration techniques
- Knowledge of data modeling methodologies and schema design
- Proficiency in scripting languages (e.g., Python, Perl, Bash) for automation
- Experience with version control tools like Git
- Familiarity with data governance and data security practices
- Strong analytical and problem-solving skills
- Excellent communication and collaboration skills
- Ability to work in an agile development environment
- Demonstrated ability to troubleshoot and resolve complex ETL issues
- Experience with cloud-based data warehousing solutions (e.g., AWS Redshift, Google BigQuery, Snowflake) is a plus
- Understanding of performance tuning and optimization for ETL processes
- Attention to detail and commitment to data accuracy and integrity
- Ability to work independently and manage multiple tasks simultaneously
- Prior experience with reporting and BI tools (e.g., Tableau, Power BI) is an advantage

- Design ETL processes to extract, transform, and load data from multiple sources.
- Develop and deploy ETL workflows in alignment with data requirements.
- Collaborate with stakeholders to gather and clarify ETL requirements.
- Optimize existing ETL processes for performance and accuracy.
- Monitor ETL workflows to ensure successful execution and data integration.
- Troubleshoot ETL issues and implement solutions promptly.
- Profile and analyze data to identify and resolve quality issues.
- Document ETL processes, data mappings, and data flows comprehensively.
- Implement data validation and error handling routines.
- Coordinate with database administrators for optimal database performance.
- Automate ETL workflows to reduce manual effort.
- Work alongside data architects to design data models and schemas.
- Ensure compliance with data governance and security policies.
- Conduct code reviews to maintain development standards.
- Stay updated with ETL tools, technologies, and best practices.
- Perform performance tuning of ETL jobs to meet SLA requirements.
- Participate in agile development activities, including sprint planning and stand-ups.
- Provide support and training on ETL processes and tools to team members and business users.

The ideal candidate for the ETL Developer role holds a Bachelor's degree in Computer Science, Information Technology, or a related field and brings 3-5 years of robust experience in ETL development. This individual is highly proficient with ETL tools such as Informatica, Talend, or SSIS and possesses strong SQL skills, along with a deep understanding of relational databases like Oracle, SQL Server, or MySQL. They exhibit a thorough grasp of data warehousing concepts and best practices, as well as expertise in data profiling, quality, and integration techniques. A solid foundation in data modeling methodologies and schema design, coupled with proficiency in scripting languages such as Python, Perl, or Bash for automation, is essential. Familiarity with version control tools like Git and an understanding of data governance and security practices are crucial. The candidate showcases strong analytical, problem-solving, and communication skills, enabling effective collaboration with stakeholders and team members in an agile development environment. They demonstrate the ability to troubleshoot and resolve complex ETL issues independently while optimizing performance and ensuring data accuracy. Experience with cloud-based data warehousing solutions, such as AWS Redshift or Snowflake, and reporting tools like Tableau or Power BI, are advantageous. The ideal candidate is detail-oriented, organized, and committed to maintaining high standards of data integrity and documentation. They are proactive, self-motivated, and adaptable, with a passion for continuous learning and improvement. Strong time management, dependability, and a team-oriented mindset, along with a resilient and innovative approach to solving data challenges, set this candidate apart as a perfect fit for the ETL Developer role.

- Design, develop, and deploy ETL processes to extract, transform, and load data from various sources into the data warehouse.
- Collaborate with business analysts and stakeholders to understand data requirements and ensure the ETL processes meet business needs.
- Maintain and optimize existing ETL workflows to enhance performance and ensure data accuracy.
- Monitor and troubleshoot ETL processes to ensure successful data integration and resolve any issues that arise during execution.
- Perform data profiling and analysis to identify data quality issues and implement appropriate solutions.
- Develop and maintain documentation for ETL processes, data mappings, and data flows.
- Implement data validation and error handling routines to ensure data integrity during the ETL process.
- Coordinate with database administrators to ensure optimal database performance and data storage utilization.
- Design and implement automation scripts to streamline ETL workflows and reduce manual intervention.
- Work with data architects to design and implement data models and schemas that support ETL processes and reporting requirements.
- Ensure compliance with data governance and security policies throughout the ETL lifecycle.
- Perform code reviews and provide feedback to ensure adherence to development standards and best practices.
- Stay updated with the latest ETL tools, technologies, and trends to continually improve ETL processes and solutions.
- Conduct performance tuning and optimization of ETL jobs to ensure they run efficiently and meet SLA requirements.
- Participate in agile development processes, including sprint planning, daily stand-ups, and retrospectives.
- Provide support and training to other team members and business users on ETL processes and tools.

- Strong analytical thinking and problem-solving abilities
- Excellent technical proficiency and attention to detail
- Effective communication and collaboration skills
- Ability to understand and translate business requirements into technical specifications
- Proactive attitude towards learning latest ETL tools and technologies
- Commitment to maintaining data integrity and accuracy
- Self-motivation and capacity to work independently
- Ability to handle multiple tasks and prioritize workload effectively
- Diligence in code quality and adherence to best practices
- Strong organizational skills and the ability to document processes thoroughly
- Flexibility and adaptability in a dynamic and agile work environment
- Enthusiasm for continuous improvement and performance optimization
- Dependability and strong work ethic
- Team player with a supportive and cooperative approach
- Openness to feedback and willingness to provide constructive feedback to others
- Strong time management skills and ability to meet deadlines
- High level of precision and thoroughness in work
- Passion for data-driven decision making and impact
- Curiosity and innovative thinking to solve complex data challenges
- Resilience and patience in troubleshooting and resolving issues

- Competitive salary based on experience and qualifications
- Comprehensive health, dental, and vision insurance plans
- 401(k) retirement plan with company matching
- Paid time off (PTO) and holidays
- Flexible working hours and remote work options
- Professional development programs and certifications
- Opportunities for career advancement and growth
- Tuition reimbursement for continuing education
- Employee wellness programs and resources
- Paid parental leave
- Gym membership discounts or wellness stipends
- Employee assistance program (EAP)
- Performance-based bonuses and incentives
- Collaborative and inclusive company culture
- Onsite snacks and beverages (if applicable)
- Company-sponsored social events and team-building activities