Clara is the leading spend management platform for companies in Latin America. Our end-to-end solution includes our locally-issued corporate cards, a Bill Pay product, financing solutions, and our highly-rated software platform; already being used by thousands of the most successful companies across the region.
Clara is backed by top global and regional investors such as GGV Capital, Coatue, DST Global Partners, General Catalyst, monashees, Acrew Capital, Kaszek, Citius, Canary, Citi Ventures, Picus Capital, Avid Ventures, ICONIQ Growth, Endeavor Catalyst, Goldman Sachs, Accial Capital, and prominent angel investors.
We are seeking a talented and experienced Analytics Engineer who specializes in using Data Build Tool (DBT) and Databricks to join our dynamic team. In this role, you will play a crucial part in transforming raw data into actionable insights and driving data-driven decision-making across the organization.
- Data Transformation and Modeling:
- Use DBT to transform, clean, and model raw data into structured datasets that can be readily used for analysis and reporting.
- Develop and maintain data models, ensuring data accuracy, consistency, and reliability.
- Collaboration with Data Analysts and Data Scientists:
- Work closely with data analysts and data scientists to understand their analytical requirements and provide them with clean, well-structured data for analysis.
- Assist in creating and maintaining data pipelines that support machine learning and advanced analytics projects.
- Data Quality and Governance:
- Implement data quality checks and validation processes to ensure the accuracy and integrity of data.
- Collaborate with data stakeholders to establish and enforce data governance best practices.
- Performance Tuning:
- Optimize SQL queries and data pipelines for performance and scalability to handle large datasets efficiently.
- Documentation and Training:
- Document data transformation processes, data models, and ETL workflows to ensure knowledge sharing within the team.
- Provide training and support to team members on DBT and Databricks best practices.
- Adoption of Best Practices:
- Stay up-to-date with industry trends and best practices in analytics engineering, DBT, and Databricks.
- Continuously seek opportunities to improve data processes and drive innovation in data analytics.
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- Strong background in Git and Github flow
- Proven experience as an Analytics Engineer, Data Engineer, or similar role.
- Strong expertise in Data Build Tool (DBT) and Databricks.
- Proficiency in SQL and experience with database systems.
- Solid understanding of ETL principles and best practices.
- Knowledge of data warehousing concepts.
- Excellent problem-solving and communication skills.
- Strong attention to detail and commitment to data quality.
- Ability to work collaboratively in a team and communicate effectively with non-technical stakeholders.