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Tech Stack
Tools & technologiesAWSCloudElasticSearchETLKafkaPythonSpark
About the role
Key responsibilities & impact- Develop and evolve ETL pipelines for data ingestion, transformation, and delivery.
- Build integrations between different data sources, ensuring data quality, performance, and standardization.
- Develop solutions using Python and Spark, working on AWS Cloud on the Databricks platform.
- Monitor and improve production pipelines, ensuring reliability and process efficiency.
- Collaborate with Analytics, Product, and Engineering teams to meet new data requirements.
- Ensure data is available with high quality and low latency for consumption across the company.
- Contribute to improvements in architecture, best practices, and the continuous evolution of data engineering.
Requirements
What you’ll need- Strong experience as a Data Engineer, developing and maintaining production data pipelines.
- Experience with AWS, Python, Databricks, and batch and streaming ETL processes.
- Knowledge of relational and non-relational databases, and familiarity with tools such as Kafka, Kibana, and Elasticsearch.
- Good communication skills to collaborate with different areas and translate business needs into technical solutions.
- English for reading and understanding technical documentation.
- Experience at technology companies or high-scale fintechs.
- Experience with Data Lakes and modern data architectures.
- Experience working with large-volume data environments.
- Able to document solutions and share knowledge with the team.
Benefits
Comp & perks- Health plan (no cost and no copay for you and your dependents)
- Dental plan and life insurance
- Flexible meal allowance via Caju (real freedom of use)
- Complete well-being benefits: TotalPass (physical activity) + ZenKlub (mental health)
- Annual performance-based bonus tied to goals and impact
- Access to Skeelo Premium + book club with a monthly ebook
- Childcare allowance + extended parental leave
- Partnerships with language schools, Berlitz and Open English
- Extended São Paulo holidays + paid year-end recess
- Birthday day off
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
ETL ProcessesData TransformationData Quality AssuranceRelational DatabasesNon-Relational DatabasesData LakesBatch ProcessingStreaming ETLLarge-Volume Data ManagementArchitecture Best Practices
Soft Skills
Good Communication Skills
