Data Engineer III

Conteúdo da vaga extraído em seções para revisão mais rápida.

Design, build, and maintain scalable data pipelines for ingestion, transformation, and delivery using Fivetran and API Ingestion with AWS S3
Develop and optimize complex SQL queries and Python scripts to support ETL/ELT workflows
Manage and maintain data workflows within Databricks, ensuring performance, reliability, and data quality
Collaborate on data modeling, schema design, and governance best practices

Build and maintain Databricks dashboards and reports that surface actionable insights to business stakeholders
Partner with analysts and business teams to translate reporting needs into scalable data solutions

Communicate clearly and proactively with stakeholders across business units, setting realistic expectations on timelines and deliverables
Prioritize workload effectively across multiple concurrent projects and shifting business needs
Document data processes, pipeline logic, and architectural decisions to enable team-wide transparency
Participate in sprint planning and contribute to Agile development cycles

Identify opportunities to leverage AI, machine learning, or cloud-native tooling to enhance data products
Stay current on emerging technologies including AI agents, LLM integrations, and modern cloud data patterns
Contribute to code reviews and version-controlled development practices via GitHub

3+ years of experience in a data engineering, analytics engineering, or similar role
Strong proficiency in SQL — able to write complex queries, optimize performance, and debug efficiently
Hands-on Python experience for data transformation, automation, and pipeline development
Experience with Databricks or equivalent distributed data processing platforms
Familiarity with version control and collaborative development using GitHub
Demonstrated ability to communicate technical concepts clearly to non-technical stakeholders

Experience with Databricks, including building pipelines and writing complex queries
Familiarity with Salesforce and experience integrating or extracting data from CRM platforms
Experience with API-based data ingestion and building pipelines from third-party data sources
Exposure to AI/ML tooling, cloud AI services, or LLM-powered data pipelines and agents
Familiarity with Agile development methodologies

Self-starter mentality — you don't wait to be told what to do next; you identify the problem and get after it
Clear communicator — you keep stakeholders informed, manage expectations honestly, and ask the right questions early
Organized and prioritization-focused — you juggle multiple asks without dropping the ball, and you know how to triage
Curiosity and a growth mindset — especially around AI, automation, and the future of data engineering
Team player — you share knowledge, support your peers, and contribute to a culture of continuous improvement

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