Senior Data Engineer, Data Architecture

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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

• Design Data Engineering solutions with architectural ownership. • Deploy and operate analytical data platforms in production. • Respond to incidents, participate in on-call rotations, and work in high-criticality environments. • Develop modular, testable, version-controlled code in Python. • Create and maintain Apache Airflow DAGs, sensors, backfills, dependencies, and failure handling. • Work with cloud MPP Data Warehouses, preferably Amazon Redshift. • Implement versioned, tested transformations using dbt or equivalent tools. • Apply Kimball dimensional modeling, including facts, dimensions, granularity, SCDs, bridge tables, and snapshots. • Use Git, code review, and CI/CD in data projects. • Model and diagnose performance, demonstrating optimizations with before-and-after metrics. • Preferred/beneficial: experience with financial and regulatory market data, AWS/Terraform infrastructure, Lakehouse, streaming/CDC, data quality and cataloging, BI, and relevant migrations.

🎯 Requirements

• 6+ years of experience in Data Engineering, with at least 2 years in an architectural role. • Proven experience deploying and operating analytical data platforms in production. • Experience with incidents, on-call duty, and high-criticality environments. • Advanced SQL, including window functions, recursive CTEs, reading execution plans, and diagnosing skew and disk spill. • Strong experience with Python for Data Engineering, including Pandas/Polars, typing, and automated testing. • Experience with Apache Airflow in production, including DAGs, sensors, backfills, dependencies, and failure handling. • Experience with cloud MPP Data Warehouses, preferably Amazon Redshift; knowledge of Snowflake, BigQuery, or Databricks is a plus. • Experience with dbt or equivalent tools for versioned transformations and applying tests. • Proficiency in Dimensional Modeling (Kimball), including facts, dimensions, granularity, SCD Type 1 and 2, bridge tables, and snapshots. • Experience with Git, code review, collaborative development, and CI/CD in data projects. • Experience in performance modeling and diagnosis. • Nice-to-haves: financial market experience; regulatory data (CVM, BACEN, BSM, ANBIMA); Terraform and AWS; Iceberg, Delta and Lakehouse; Kafka, Debezium and Kinesis; Great Expectations, Soda, DataHub and OpenMetadata; Power BI, Metabase and Looker; relevant migrations with parity validation.

🏖️ Benefits

• Flash Card - R$ 936.00 per month for flexible use on food, meals, and mobility. • SulAmérica Health Plan - no co-payment or deductions. • SulAmérica Dental Plan - no co-payment or deductions. • Life Insurance. • Gympass | Wellhub - Access to gyms and physical activities. • TotalPass - Access to gyms, fitness activities, wellness, and sports. • SESC partnership - Benefits for culture, leisure, sports, and wellness. • Creditas - Access to financial benefits, loans, and pension plan options. • Continuous exchange of tech talent. • Redeployment to new internal projects. • Direct contact with leadership and clients. • Close support from the People team and Business Partner (BP).