Senior Analytics Engineer

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🕒 May 26

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Caju

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💳 Fintech

👥 HR Tech

☁️ SaaS

💰 $4M Undisclosed on 2025-01

Fintech • HR Tech • SaaS

Caju is a Brazilian payment institution and HR platform that centralizes employee benefits, expense management and HR processes in a single, integrated solution. Authorized by the Banco Central as an institution of payment, Caju offers cards and a mobile app, multibenefits administration (CLT, PAT, flexible), expense and reimbursement workflows, mobility and wellbeing services, and acts as a banking correspondent for payroll lending. The company focuses on B2B customers—serving small to large employers—to simplify HR operations, improve employee engagement and provide financial-services features with regulatory compliance.

📋 Description

• Build and maintain robust data models using DBT, applying development best practices such as tests, documentation and versioning of models. • Develop fact tables, dimension tables and data marts oriented to business needs, following dimensional modeling standards (Star Schema/Snowflake Schema). • Act as a bridge between business teams and data engineering, gathering requirements, interpreting business rules and translating analytical requests into reliable, scalable data solutions. • Document developed models, including metric definitions, applied business rules, data glossary and lineage. • Implement and maintain orchestration pipelines in Databricks and Airflow, ensuring reliability and monitoring of data flows. • Develop solutions in Python and SQL for data transformation, cleansing and aggregation in the Databricks environment. • Implement data quality tests in DBT models and analytical layers. • Set up monitoring and alerts for pipelines and data models, identifying and resolving inconsistencies. • Lead end-to-end complex modeling projects, from understanding business needs to production delivery. • Apply partitioning, clustering and materialization strategies to ensure performance and cost efficiency. • Collaborate with product and business squads to support strategic and operational decisions. • Use GitHub for versioning, reviewing pull requests and engineering best practices.

🎯 Requirements

• Strong expertise in analytical data modeling: Star Schema, Snowflake and OBT (One Big Table) • Solid knowledge of layered architectures such as the Medallion Architecture (Bronze, Silver, Gold) • Ability to define and enforce data contracts between layers • Experience with DBT materialization strategies: tables, views, incremental models and snapshots • Knowledge of data partitioning in Databricks • Familiarity with clustering and Z-Ordering in Databricks/Delta Lake • Ability to identify and fix performance bottlenecks in SQL queries • Ability to estimate and manage the cost impact of complex models on cloud processing • Proficiency in DBT (dbt Core or dbt Cloud), including models, tests, macros and documentation • Experience with Databricks and Delta Lake, including Time Travel, VACUUM and OPTIMIZE • Advanced SQL skills • Knowledge of Python for automation, data transformation and pipeline support scripts • Experience with Apache Airflow and Databricks for pipeline orchestration • Experience with GitHub, code review workflows and team collaboration • Critical thinking and autonomy to drive complex projects with multiple stakeholders • Clear communication with non-technical business areas • Ownership mentality regarding data quality and reliability • Nice to have: Unity Catalog or other data governance and cataloging tools • Nice to have: data observability tools such as Elementary or Monte Carlo • Nice to have: BI tools like Metabase, Explo, GoodData, Luzmo or Power BI • Nice to have: Terraform or other Infrastructure as Code (IaC) tools • Experience in fintech and employee benefits environments

🏖️ Benefits

• Caju Card, offering flexibility to use your benefits (Meals, Food, Mobility, Health, Home Office, Culture and Education) • Health plan with no co-pay (Unimed, SulAmérica or Alice) • Zenklub, with online sessions with therapists and coaches to support mental health • Wellhub • Language learning through a partnership with Rosetta Stone • Recharge day (day off) • Conexa Saúde - online medical consultation • Childcare assistance • Partnership with Alura • Remote work, allowing you to work from anywhere within Brazil • Work equipment provided • Many growth opportunities