Brasilseg
Brasilseg
1,001 – 5,000 Employees
B2CFinanceInsurance
Brasilseg operates in Brazil’s insurance and financial protection sector, offering personal and group insurance, pension plans, and related products for individuals and businesses. Founded in 2018, the company serves customers through digital channels and partnerships, including its relationship with Banco do Brasil. Its work spans insurance, finance, and consumer-focused services, supported by a team of more than 1,000 employees.

Data Engineering Specialist - Brasilseg - São Paulo Hybrid

Advance Brasilseg’s analytics platforms as a Data Engineering Specialist at a leading national insurer. Build scalable Databricks and AWS pipelines supporting analytics, artificial intelligence, and digital transformation.

Description

  • Shape resilient, efficient data architectures for analytics platforms and strategic initiatives.
  • Define engineering standards, reusable practices, and lifecycle guidance for enterprise data.
  • Build Bronze, Silver, and Gold data pipelines with strong quality, governance, and lineage controls.
  • Create and improve ingestion, transformation, and delivery workflows across Databricks and AWS.
  • Develop and maintain integrations with APIs, relational databases, NoSQL platforms, and enterprise systems.
  • Build reusable frameworks, automation, and engineering solutions that standardize the data ecosystem.
  • Introduce data quality controls that protect information consistency, integrity, completeness, and compliance.
  • Track and improve the performance of pipelines, queries, and distributed processing workloads.
  • Diagnose and resolve production failures, bottlenecks, and underlying platform issues.
  • Advance data cataloging, governance, lineage, and access-control practices for data assets.
  • Assess technologies, tools, and architectural patterns that can strengthen the data platform.
  • Guide multidisciplinary teams as a technical resource while promoting effective data engineering practices.

Requirements

  • Bachelor’s degree in computer science, computer engineering, information systems, data engineering, software engineering, statistics, mathematics, or a related discipline.
  • Demonstrated data engineering experience, including ETL or ELT pipeline development.
  • Professional experience with Databricks and AWS services.
  • Advanced SQL proficiency.
  • Advanced Python proficiency.
  • Hands-on experience with data lakes, data warehouses, and Bronze, Silver, and Gold medallion architecture.
  • Experience improving, monitoring, and observing data pipeline performance.
  • Working knowledge of data governance and data quality practices.
  • Experience with Spark, PySpark, Delta Lake, and Unity Catalog.
  • Experience connecting data through APIs and messaging platforms.
  • Insurance-sector experience is advantageous.
  • Databricks Certified Data Engineer Associate or Professional certification is advantageous.
  • AWS Certified Data Engineer Associate or AWS Certified Solutions Architect certification is advantageous.
  • Knowledge of DataOps is advantageous.
  • Experience implementing CI/CD for data pipelines is advantageous.
  • Knowledge of Terraform and infrastructure as code is advantageous.
  • Experience with streaming data and event-driven system design is advantageous.

Benefits

  • Health coverage
  • Dental coverage
  • Funeral assistance insurance
  • Transportation allowance
  • Meal voucher
  • Food allowance
  • Additional 13th food allowance
  • Group life insurance
  • Private pension plan
  • Childcare or babysitter allowance
  • Profit sharing and performance-based PLR bonus
  • Wellhub membership
  • Paid birthday leave
  • Desenvolve learning program with more than 500 courses
  • Integrated health program supporting mental, social, financial, and physical well-being

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