Senior Data Engineer

🔥 2 minutes ago

🇧🇷 Brazil – Remote

⏳ Contract/Temporary

🟠 Senior

🚰 Data Engineer

👻 Ghost score 13%

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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Beyond Soluções

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2017

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Beyond Soluções is a technology consulting and solutions firm specializing in agile, innovative projects for the financial market. With eight years of experience, the company provides specialized squads, tech consulting, outsourcing (Hunting and Outsourcing 2. 0), and a digital onboarding product that leverages AI to speed up and secure customer onboarding and reduce time-to-market. Beyond Soluções focuses on delivering B2B technology services and scalable software-enabled solutions that combine technical expertise and business-domain knowledge to improve operational efficiency and compliance for financial services clients.

📋 Description

• Develop applications and data pipelines with Python • Process large volumes of data in a distributed environment using PySpark • Build and govern data transformations using dbt • Orchestrate pipelines with Airflow • Use GitHub for version control, pull requests, code reviews, and CI/CD integration • Work with AWS services, including Lambda, CloudWatch, S3, Redshift, and Aurora • Implement and work with Apache Iceberg • Apply Data Lakehouse and Medallion Architecture patterns • Execute ETL/ELT processes • Contribute to building an innovative financial platform from the ground up, with no technical legacy

🎯 Requirements

• Strong experience with Python, developing applications and data pipelines with a focus on performance, maintainability, and best practices • Experience with PySpark for distributed processing of large volumes of data • Advanced SQL proficiency • Experience with dbt for building and governing data transformations • Knowledge of Airflow for pipeline orchestration • Strong experience with GitHub, including version control, pull requests, code reviews, and CI/CD pipeline integration • Knowledge of AWS, especially Lambda, CloudWatch, S3, Redshift, and Aurora • Experience with Apache Iceberg • Knowledge of Data Lakehouse architecture and Medallion Architecture • Experience with ETL/ELT processes • Nice to have: experience with Databricks • Nice to have: knowledge of Kafka, particularly in building producers and event-driven messaging systems

🏖️ Benefits

• End-to-end professional growth opportunities • Healthy work environments • Real-world, high-impact projects • An environment that fosters innovation, technical ownership, and autonomy • The opportunity to build a platform from the ground up, with no technical legacy • Use of best-in-class tools, best practices, and innovative ideas