Data Warehouse Developer

Vintti is a dynamic staffing agency bridging the gap between Latin American talent and US-based businesses. We specialize in connecting skilled professionals from Latin America with small and medium-sized businesses, startups, and firms across the United States. Our mission is to provide top-tier staffing solutions that enable US companies to access a diverse pool of talented individuals while offering exciting career opportunities to Latin American professionals. By leveraging our extensive network and deep understanding of both markets, Vintti facilitates mutually beneficial partnerships that drive growth and innovation for our clients and candidates alike.

A Data Warehouse Developer is a specialized professional responsible for designing, building, and maintaining data warehouse systems to store and organize vast amounts of data efficiently. They develop the architecture and processes necessary for data extraction, transformation, and loading (ETL) operations. By ensuring data is accurately aggregated from various sources, they enable robust data analysis and reporting capabilities. Proficient in database management and SQL, Data Warehouse Developers play a crucial role in transforming raw data into actionable insights, supporting informed decision-making across the organization. Their expertise ensures data integrity, scalability, and performance of the data warehouse infrastructure.

- Bachelor's degree in Computer Science, Information Technology, or a related field.
- Proven experience as a Data Warehouse Developer or in a similar role.
- Proficiency in data warehousing concepts and methodologies.
- Strong knowledge of ETL processes and tools (e.g., Informatica, Talend, SSIS).
- Expertise in SQL and database management systems, such as SQL Server, Oracle, or MySQL.
- Familiarity with data modeling, schema design, and normalization techniques.
- Experience with data governance, security policies, and best practices.
- Ability to write and optimize complex SQL queries, stored procedures, and scripts.
- Strong analytical and problem-solving skills.
- Experience with data visualization and business intelligence tools (e.g., Tableau, Power BI).
- Knowledge of cloud-based data warehousing solutions (e.g., AWS Redshift, Google BigQuery, Snowflake).
- Excellent communication and collaboration skills.
- Attention to detail and commitment to data accuracy.
- Ability to work independently and as part of a team.
- Experience with performance tuning and query optimization techniques.
- Familiarity with Agile development methodologies and tools.
- Certifications in relevant technologies are a plus.
- Strong documentation skills.
- Ability to mentor and support junior team members.

- Design and develop data warehouse solutions.
- Extract, transform, and load (ETL) data from various sources.
- Optimize data warehouse performance and query response times.
- Collaborate with stakeholders to gather business requirements.
- Create and maintain database schemas, tables, views, and indexes.
- Ensure data integrity, consistency, and accuracy.
- Troubleshoot data quality and ETL process issues.
- Develop and maintain data warehouse documentation.
- Implement data governance and security policies.
- Provide user support and training on data access and usage.
- Conduct regular data warehouse maintenance tasks.
- Monitor and tune data warehouse performance.
- Stay current with emerging data warehousing technologies and best practices.
- Participate in code reviews and collaborative development activities.

The ideal candidate for the Data Warehouse Developer role will possess a Bachelor's degree in Computer Science, Information Technology, or a related field, coupled with extensive experience as a Data Warehouse Developer or in a comparable position. They should exhibit a profound understanding of data warehousing concepts, methodologies, and ETL processes, utilizing tools such as Informatica, Talend, or SSIS. Their proficiency in SQL and database management systems like SQL Server, Oracle, or MySQL will be matched by their expertise in data modeling, schema design, and normalization. The candidate must demonstrate a keen aptitude for optimizing performance and query response times, with a proven track record in performance tuning and query optimization. They will have experience with data governance and security best practices, ensuring the integrity, consistency, and accuracy of data. Strong analytical and problem-solving skills are paramount, as is familiarity with data visualization and business intelligence tools like Tableau or Power BI. Knowledge of cloud-based data warehousing solutions, including AWS Redshift, Google BigQuery, or Snowflake, is highly desirable. The candidate will be an excellent communicator, capable of collaborating effectively with stakeholders and mentoring junior team members. They should be detail-oriented, innovative, and adept at managing time and prioritizing tasks. With a proactive attitude, a collaborative mindset, and a commitment to continuous learning and improvement, the ideal candidate will bring both technical prowess and a high level of professionalism to the role, ensuring they can deliver quality service and drive the organization’s data initiatives forward.

- Design, develop, and optimize data warehouse solutions to support business intelligence and analytics needs.
- Extract, transform, and load (ETL) data from various sources into the data warehouse using ETL tools and scripts.
- Collaborate with data architects, analysts, and stakeholders to gather and understand business requirements.
- Create and maintain database schemas, tables, views, indexes, and stored procedures.
- Ensure data integrity, consistency, and accuracy through rigorous testing and validation processes.
- Monitor data warehouse performance and perform tuning to optimize query response times and resource utilization.
- Troubleshoot and resolve issues related to data quality and ETL processes.
- Develop and maintain documentation for data warehouse structures, processes, and maintenance procedures.
- Implement and enforce data governance and security policies to protect sensitive information.
- Provide support and training to end-users and other team members on data access and usage.
- Conduct regular data warehouse maintenance tasks, including backups, capacity planning, and performance monitoring.
- Stay up-to-date with emerging technologies and best practices in data warehousing and apply them to enhance the data warehouse environment.
- Participate in code reviews, peer programming sessions, and other collaborative development activities.

- Detail-oriented with a high level of accuracy.
- Strong problem-solving abilities.
- Excellent communication skills.
- Proactive and able to anticipate potential issues.
- Team-oriented with a collaborative mindset.
- Highly analytical and data-driven.
- Adaptable and willing to learn new technologies.
- Reliable and responsible with a strong work ethic.
- Ability to manage time effectively and prioritize tasks.
- Innovative thinker who can develop creative solutions.
- Patient and able to handle complex projects.
- Customer-focused with a commitment to delivering quality service.
- Strong mentorship and leadership capabilities.
- Enthusiastic about continuous improvement and knowledge sharing.
- High degree of integrity and professionalism.
- Technically proficient and able to stay current with industry trends.
- Capable of working independently with minimal supervision.
- Strong organizational skills and attention to detail.

- Competitive salary range.
- Comprehensive health, dental, and vision insurance.
- Retirement savings plan with company match.
- Paid time off (PTO) and holidays.
- Flexible work hours and remote work options.
- Professional development and training opportunities.
- Career advancement prospects and clear growth pathways.
- Performance bonuses and incentive programs.
- Employee assistance programs (EAP).
- Wellness programs and resources.
- Work-life balance initiatives.
- Tuition reimbursement for continuing education.
- Access to cutting-edge technologies and tools.
- Collaborative and inclusive work environment.
- Generous parental leave policy.
- Life and disability insurance.
- Employee discounts and perks.
- Relocation assistance (if applicable).
- Company-sponsored social events and team-building activities.