Senior Data Engineer

🕒 July 31

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 21%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Extractta

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2005

💼 Consulting

📣 Marketing

☁️ SaaS

Consulting • Marketing • SaaS

Extractta is a company proficient in information technology, dedicated to continually reinventing itself to support the transformation processes of its clients. It emphasizes a deep understanding of client needs and provides ongoing guidance in employing the best products and solutions, showcasing its expertise in technologies such as MongoDB, AWS, Salesforce, and data integration.

📋 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 to deliver data-driven solutions.

🎯 Requirements

• Strong experience (5+ years) with data engineering and production-grade pipelines; • Proficiency in SQL and in languages such as Python, Scala, or Java; • Hands-on 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). • Desired: • Experience in financial or regulated environments; • Knowledge of modern data architecture (Lakehouse / Data Mesh); • Familiarity with pipeline monitoring and observability.

🏖️ Benefits

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