**CORRELATION ONE** **Correlation One**develops workforce skills for the AI economy** Enterprises and governments work with us to develop talent and close critical data, digital, and technology skills gaps. Our global programs, including training programs and data competitions, also empower underrepresented communities and accelerate careers. Our mission is to create equal access to the data-driven jobs of the future. We partner with top employers and government organizations to make that a reality, including Amazon, Coca-Cola, Johnson & Johnson, USAID, the U.S. State Department, and the U.S. Department of Defense. Our skills training programs are 100% free for learners and are delivered virtually by industry experts to minimize traditional barriers to career advancement. We take pride in fostering supportive, human-led, group learning environments that build technical proficiency and confidence in participants. Join us and let's shape the AI Economy together! **Your impact**: **A day in the life**: - Own and develop the long-term technical vision & blueprint for the team - Design technical strategy to develop well-architected data lakehouse - Collaborate with internal architects to design and build out the ELT process from data ingestion to analytics marts. - Create reliable, reusable frameworks and abstractions to standardize software development - Provide support to development teams while mentoring engineering team members on modern database architecture principles and best practices. - Monitor and analyze database performance and follow best practices of data engineering such as code reviews, scrum, and SDLC. - Develop schema design for reports and analytics. - Hands-on development from microservices and sub-systems to the entire technical stack - Deal with ambiguity and figure things out with mínimal guidance - Mentor junior engineers on the team - Create standards for engineering and operational excellence - Identify and educate on industry relevant technical trends **Your expertise**: - Experience with creating data products and internal platforms which accelerate the development of data pipelines - Advanced SQL experience and database design - Experience building and maintaining pipeline monitoring for latency, traffic, saturation, and errors - Able to demonstrate advanced computer and analytical skills with particular knowledge and understanding of the following storage, computing, and tools: - GCP or equivalent cloud-based data lake/OLAP/OLTP environments - APIs, Airflow, Cron, dbt, Git - Experience creating microservices for passing data - Experience working and implementing CDC (PostGres), with technologies like Kafka - Working experience with Software Engineering development and deployment practices - Experience with agile methodologies such as Scrum or Kanban with comfort level to work in iterative product driven cycles - Experience with object-oriented/object function scripting languages: Python, Scala, etc. - Working with CI/CD processes and source control tools such as Github - Additional preferred experience: - Handling unstructured text and data - Infrastructure as code, ideally Terraform - Non-tabular database management systems, e.g. MongoDB, NeptuneDB - BI dashboards such as Tableau or PowerBI - Implementing machine learning systems - Utilizing logging/observability software such as data dog - Utilizing data cataloging tool to document data pipelines and datasets **Where you are** - This role is remote and should be located in **Latin America** and compatible with EST time zone. **How we support our people** - Insurance or subsidies based on country - Unlimited Time Off, with a minimum time off recommendation - 10 company-paid holidays - Official company-wide holiday for the last week of the calendar year - Access to free data skills training through our programs - A company culture that empowers individuals and embraces diversity through its core mission The compensation range for this position is specific to location and takes into account the wide range of factors that are considered in making compensation decisions. These factors include (but are not limited to) location, experience, education and skill sets. **Correlation One's Commitment