Role Description Analista de Polticas de Cobrana Snior Modalidade 100% Remoto | Tipo Efetivo CLT O que você vai fazer: - Analisar o comportamento de clientes em atraso curto, médio e longo prazo para encontrar oportunidades de melhoria. - Criar e ajustar políticas de cobrança baseadas em dados para reduzir o risco e aumentar a recuperação. - Usar SQL e Python para extrair insights e gerar relatórios estratégicos. - Explicar para as áreas de negócio e vendas por que as estratégias analíticas funcionam e provar o valor das soluções. - Trabalhar em conjunto com os times de Ciência de Dados e Operações. Qualifications - Experiência: Já ter trabalhado com análise de dados voltada para cobrança ou risco de crédito. - Técnica: Domínio de SQL, BigQuery e Python. - Visão Prática: Conseguir transformar números em ações que resolvam os problemas dos clientes. - Comunicação: Saber explicar resultados complexos de um jeito simples para diferentes times. - Formação: Ensino superior completo em Exatas, Engenharias, Economia ou áreas correlatas. Diferenciais - Conhecimento em políticas de desconto, acesso de carteira e precificação. - Inglês.

• Design, build, and maintain data pipelines (Airflow, Airbyte, DBT, Snowflake) • Implement Medallion architecture (bronze / silver / gold layers) • Develop reliable ETL/ELT processes and integrate data from multiple sources (SQL/noSQL/APIs) • Improve data modeling practices and overall data quality • Optimize performance and troubleshoot issues • Collaborate closely with analysts and business teams to turn data into insights

• Collaborate with product managers, data scientists, engineering, and program management teams to define product features, business deliverables and strategies for data products. • Collaborate with business partners, operations, senior management, etc. on day-to-day operational support. • Support operational reporting, self-service data engineering efforts, production data pipelines, and business intelligence suite. • Interface with multiple diverse stakeholders and gather/understand business requirements, assess feasibility and impact, and deliver on time with high quality. • Design appropriate solutions and recommend alternative approaches when necessary. • Work with high volumes of data, fine tuning database queries and able to solve complex technical problems. • Contribute to multiple projects/demands simultaneously. • Work in a fast paced, collaborative, and iterative environment. • Exercise independent judgment in methods and techniques for obtaining results. • Work in an agile/scrum environment. • Use state of the art technologies to acquire, ingest and transform big datasets.

Role Description Splash Financial is seeking a highly skilled and experienced Principal Data Engineer to design and implement a scalable, reliable, and high-performance data platform. In this role, you will be responsible for developing data models, architecting robust big data systems, and ensuring scalability and fault tolerance across our data ecosystem. What You’ll Do at Splash - Design and implement end-to-end big data solutions that meet functional and non-functional requirements, focusing on scalability, reliability, and performance. - Design logical and physical data models for structured, semi-structured, and unstructured data. - Work closely with engineering, data science, product, and infrastructure teams to ensure seamless data flow and system interoperability. - Optimize storage and processing layers for performance and cost-efficiency. - Ensure high availability and disaster recovery for the data platform. - Establish data governance standards including data quality, metadata management, and lineage tracking. - Conduct performance tuning and capacity planning for large-scale data environments. - Evaluate and recommend tools, frameworks, and technologies to enhance the data ecosystem. - Mentor junior data engineers and provide architectural guidance to cross-functional teams. Qualifications - Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field. - 10+ years of experience in big data architecture and data engineering roles. - Strong proficiency with big data technologies: Hadoop, Spark, Kafka, Hive, Presto, Flink, etc. - Expertise in data modeling, warehousing solutions (e.g. Snowflake, Databricks, BigQuery), and distributed systems. - Hands-on experience with cloud platforms (AWS preferred) and infrastructure-as-code (Terraform). - Knowledge of data privacy and financial data compliance regulations. - Excellent problem-solving and communication skills. - Experience in the lending/credit or broader financial services industry. - Experience using Fivetran, Dbt, Airflow and Snowflake. - Familiarity with MLOps tools (MLflow, Kubeflow) and real-time analytics. Requirements - Strong background in data engineering, distributed systems, and cloud infrastructure. - Deep understanding of best practices in data modeling, system architecture, and data governance. Benefits - Fully remote work freedom. - Competitive salary packages. - Flexible PTO + 9 company holidays. - Equity: Share in our start-up success. - Comprehensive and affordable insurance benefits. - Paid parental leave for both caregivers. - Essential equipment to get the job done. - 401(k) for your future savings. - Quarterly meet-ups: In person & virtual fun. - Awesome Splash swag to flaunt your team spirit.