Senior Data Engineer

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October 8

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Extractta

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QUEM SOMOS

201 - 500 employees

Founded 2005

📋 Description

• Develop and maintain data pipelines (ETL / ELT / streaming) in cloud environments; • Work with data lake, data warehouse and lakehouse architectures, ensuring performance and scalability; • Integrate and prepare data for Analytics and Data Science teams; • Implement best practices for data governance, security, and data quality; • Automate orchestration and monitoring (Airflow, Prefect, etc.); • Collaborate with cross-functional teams on data-driven solutions.

🎯 Requirements

• Strong experience (5+ years) in data engineering and production-grade pipelines; • Proficiency in SQL and languages such as Python, Scala, or Java; • Experience with Spark, Kafka, and relational and NoSQL databases; • Experience with cloud platforms (AWS, GCP, or Azure) and tools such as Glue, BigQuery, Redshift, or Dataproc; • Knowledge of CI/CD, version control, and infrastructure as code; • Experience with data governance and data quality (cataloging, lineage, LGPD); • Experience in financial or regulated environments; • Knowledge of modern data architectures (Lakehouse / Data Mesh); • Familiarity with pipeline monitoring and observability.

🏖️ Benefits

• Competitive compensation based on experience • Opportunities for career growth and participation in strategic projects • Dynamic and challenging work environment • Opportunity to work at a rapidly growing company.