Data Engineer
hace 1 semana
We are a technology company revolutionizing credit and banking in Latin America, starting with point-of-sale finance. Our mission is to build fair, simple, and affordable financial services that empower our clients, treating them with dignity, and fostering financial freedom. With a strong focus on innovation and customer satisfaction, we aim to become a leader in the fintech industry.
We operate as a full-stack startup, with a talented team of engineers and data scientists working together to design and implement cutting-edge solutions. Our technology and analytics platform are key drivers of our growth and success, and we are committed to staying at the forefront of industry trends and best practices.
We are backed by top-tier investors, including Andreessen Horowitz, Monashees, and Village Global, and have a strong network of individual angels and advisors who share our vision and values.
Job SummaryWe are seeking an experienced Analytics Engineer to join our team and help us drive business growth through data-driven insights and decision-making. As an Analytics Engineer, you will be responsible for designing and implementing data models, developing reusable data assets, and creating data visualizations to support business stakeholders.
Key Responsibilities- Design and implement data models to support business requirements
- Develop reusable data assets to enable data-driven decision-making
- Create data visualizations to communicate insights and trends to business stakeholders
- Collaborate with cross-functional teams to identify business opportunities and develop data-driven solutions
- Stay up-to-date with industry trends and best practices in data engineering and analytics
- Strong SQL skills for querying and manipulating large datasets
- Python knowledge (at basic level)
- Experience in designing and implementing data models
- Understanding of ETL (Extract, Transform, Load) processes and tools
- Experience with data visualization tools such as Looker, Power BI, or Tableau
- Ability to communicate complex technical concepts to non-technical stakeholders
- Experience with cloud platforms such as AWS, Google Cloud Platform, or Azure
- Knowledge of advanced statistical methods or machine learning techniques
- Familiarity with big data frameworks such as Hadoop or Spark
- Opportunity to work on a high-growth startup with a strong mission and values
- Competitive compensation and benefits package
- Opportunities for professional growth and development
- Collaborative and dynamic work environment
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