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FBS Associate Data Engineer

13 hours, 37 minutes ago
Brazil
Full-time
Mid Level
Data Engineer
Software Development
Agile Apache Spark AWS Azure Databricks GCP Python REST API Snowflake SQL
Apply Now
Capgemini

Capgemini

Capgemini is a global leader in consulting, technology services, and digital transformation, empowering businesses with innovative solutions and expertise to thrive in a rapidly evolving market.

Internet Software & Services
5001+
Founded 1967
$93M raised
View All Jobs 5

Description

  • Develop, maintain, and support scalable data pipelines and integration solutions.
  • Build and support enterprise data products for reporting, analytics, and operational use cases.
  • Develop data models, data warehouses, and dimensional modeling solutions with senior-team guidance.
  • Integrate data from internal systems, cloud platforms, REST APIs, and third-party vendors.
  • Partner with business and technical stakeholders to translate requirements into technical solutions.
  • Support data quality, governance, reliability, and consistency initiatives.
  • Optimize SQL queries and troubleshoot data-processing issues.
  • Work with AWS-based data platforms and modern data engineering frameworks.
  • Participate in Agile planning, ceremonies, and sprint activities.
  • Follow engineering standards and contribute to data architecture and platform improvements.

Requirements

  • 4–6 years of total professional experience, including 2–4 years in data engineering, data integration, analytics engineering, or a related field.
  • Proficiency in Python, AWS Glue, PySpark, and SQL development and query-performance tuning.
  • Experience developing data pipelines, enterprise data integrations, data warehouses, and dimensional models.
  • Experience with cloud-based data environments and cloud data platforms.
  • Experience integrating REST APIs and performing data modeling and analysis.
  • Fluent written and spoken English.
  • Strong communication, stakeholder management, and cross-functional collaboration skills.
  • Ability to translate business requirements into technical solutions and balance hands-on development with stakeholder collaboration.
  • Bachelor’s degree in a technical, engineering, quantitative, or related discipline (preferred).
  • Experience with AWS, Dremio, Data Catalog technologies, analytical or operational data products, regulated industries, Life Insurance or Financial Services, external vendors, or cloud/data engineering certifications (preferred).

Benefits

  • Competitive salary and performance-based bonuses.
  • Comprehensive benefits package, including grocery vouchers, savings funds, and SGMM.
  • Private health insurance.
  • Pension plan.
  • Paid time off.
  • Career development and training opportunities.
  • Dynamic and inclusive work culture within a global insurance group.

Interested in this position?

Apply directly on the company website

Apply Now

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