Data Engineer supporting vehicle buying and selling solutions through integration pipelines. Collaborating with teams to build digital vehicle platforms and optimize data processes in São Paulo.
About the role
- Senior Data Engineer at Sonatype responsible for building data pipelines and BI solutions. Collaborating with teams to design infrastructures empowering analytics and decision-making.
Responsibilities
- Design, build, and maintain scalable data pipelines and ETL/ELT processes.
- Architect and optimize data models and storage solutions for analytics and operational use.
- Create and manage business intelligence reports and dashboards using tools like Looker Studio, Power BI, or similar.
- Collaborate with data scientists, analysts, and stakeholders to ensure datasets are reliable, meaningful, and actionable.
- Own and evolve parts of our data platform (e.g., Airflow, dbt, Spark, Redshift, or Snowflake).
- Write complex, high-performance SQL queries to support reporting and analytics needs.
- Implement observability, alerting, and data quality monitoring for critical pipelines.
- Drive best practices in data engineering and business intelligence, including documentation, testing, and CI/CD.
- Contribute to the evolution of our next-generation data lakehouse and BI architecture
Requirements
- 5+ years of experience as a Data Engineer or in a hybrid data/reporting role.
- Strong programming skills in Python, Java, or Scala.
- Proficiency with data tools such as Databricks, data modeling techniques (e.g., star schema, dimensional modeling), and data warehousing solutions like Snowflake or Redshift.
- Hands-on experience with modern data platforms and orchestration tools (e.g., Spark, Kafka, Airflow).
- Proficient in SQL with experience in writing and optimizing complex queries for BI and analytics.
- Experience with BI tools such as Looker Studio, Power BI, or Tableau.
- Experience in building and maintaining robust ETL/ELT pipelines in production.
- Understanding of data quality, observability, and governance best practices.
Benefits
- Parental leave
- Diversity and inclusion working groups
- Flexible working practices
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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