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Skeelo

Senior Data Engineer

Skeelo

Senior Data Engineer developing scalable solutions for Skeelo’s data platform, enhancing data ingestion and analytics processes while collaborating with cross-functional teams.

Posted 7/3/2026full-timeSão Paulo • 🇧🇷 BrazilSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in developing and maintaining ETL pipelines using Python and Spark on AWS Cloud, with a focus on data quality and performance. Collaborates effectively with cross-functional teams to translate business needs into technical solutions while ensuring high availability and low latency of data.

Highest-signal resume keywords
Data EngineeringETL Pipeline DevelopmentAWS CloudPythonDatabricks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
ETL ProcessesData TransformationData Quality AssuranceRelational DatabasesNon-Relational DatabasesData LakesBatch ProcessingStreaming ETLLarge-Volume Data ManagementArchitecture Best Practices
Soft Skills
Good Communication Skills
Tools & Technologies
SparkKafkaKibanaElasticsearch
Industry Keywords
FintechHigh-Scale Technology Companies

Tech Stack

Tools & technologies
AWSCloudElasticSearchETLKafkaPythonSpark

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