FBS Data Engineer
New
F
FBSLife Insurance
BrazilFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- Fluent English (written and verbal).
- Experience
- 7–9 years of total professional experience. 4–6+ years of experience in Data Engineering, Analytics Engineering, Data Integration, or related disciplines.
- Required Skills
- PythonSQLData AnalysisData modelingPySpark
Requirements
- Have 7–9 years of total professional experience.
- Have 4–6+ years of experience in Data Engineering, Analytics Engineering, Data Integration, or related disciplines.
- Be fluent in English, written and verbal.
- Bring experience working in cloud-based data environments.
- Have experience with Python; the posting specifies 4–6 years.
- Have experience with AWS Glue and PySpark.
- Have SQL development, data warehousing, and data pipeline development skills.
- Have experience with REST API integration, data modeling, and data analysis.
- A bachelor's degree in a technical, engineering, quantitative, or related discipline is preferred.
- Stakeholder management and communication capabilities are required.
Responsibilities
- Design, develop, and maintain scalable data pipelines and data integration solutions.
- Build and support enterprise data products for analytics, reporting, and operational use cases.
- Develop and maintain data models, data warehouses, and dimensional modeling solutions.
- Integrate data from internal systems, cloud platforms, APIs, and third-party vendors.
- Gather requirements from business stakeholders and translate business needs into technical solutions.
- Ensure data quality, governance, reliability, and consistency across platforms.
- Optimize SQL queries and data processing performance.
- Partner with vendors and cross-functional teams, and provide technical leadership and guidance on data engineering practices.
- Support project planning, estimation, and execution in Agile environments.
- Improve data architecture, automation, and data platform capabilities.
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