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Extractta

Senior Data Engineer

Extractta

Senior Data Engineer working on data architecture and integration for financial sector clients. Focusing on scalable solutions and real-time processing with cloud-based data platforms.

Posted 5/15/2026full-timeRemote • 🇧🇷 BrazilSeniorWebsite

Tech Stack

Tools & technologies
AzureETLKafkaPySparkPythonSparkSQLTableauTerraformUnityVault

About the role

Key responsibilities & impact
  • Design, develop, and support robust data infrastructure solutions with a focus on scalability, security, and efficiency.
  • Lead the implementation and maintenance of ecosystems such as Trino, AWS Glue, Redshift, Airflow, Kafka, and Spark on Kubernetes (K8s).
  • Collaborate with engineering, data science, and product teams to ensure seamless integration between systems.
  • Diagnose and resolve incidents related to performance, scalability, and reliability.
  • Apply and promote best practices in architecture, data governance, and monitoring.

Requirements

What you’ll need
  • Strong experience with data infrastructure ecosystems: Trino, AWS Glue, Terraform, CI/CD, Apache Airflow, Kafka, and Spark on Kubernetes.
  • Advanced proficiency in Python (including PySpark) and object-oriented programming.
  • Proven experience with distributed systems, data warehouses, and large-scale ETL/ELT pipelines.
  • Practical experience or knowledge of Databricks (workspaces, jobs, notebooks, and Spark integration).
  • Hands-on knowledge of data governance, security, and storage (e.g., S3, Redshift).
  • Analytical skills and problem-solving with a focus on operational efficiency.
  • Good communication skills and experience working collaboratively.
  • Certifications such as AWS Certified Solutions Architect or similar (preferred).
  • Familiarity with Trino for ad-hoc analytics (preferred).
  • Experience with monitoring tools like Datadog or New Relic (preferred).
  • Knowledge of AI applied to data, especially RAG (Retrieval-Augmented Generation), for analytics and intelligent insights projects (preferred).

Benefits

Comp & perks
  • Competitive compensation based on experience;
  • Opportunities for growth within the company and participation in strategic projects;
  • Dynamic and challenging work environment;
  • Opportunity to work at a rapidly growing company in the market.

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Hard Skills & Tools
PythonPySparkTerraformCI/CDApache AirflowKafkaSparkdata governanceETLELT
Soft Skills
analytical skillsproblem-solvingcommunication skillscollaboration
Certifications
AWS Certified Solutions Architect