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Senior Data Engineer – Consumer Credit Recovery
Itaú Unibanco. Proactively and collaboratively understand customers’ pain points and needs .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing data pipelines using Python and advanced SQL, while leveraging AWS Big Data services to create scalable data products. Proficient in ensuring data quality and availability, with a focus on continuous improvement and innovative solutions in the Consumer Credit Recovery domain.
Highest-signal resume keywords
Python Pipeline DevelopmentAdvanced SQL KnowledgeAWS Big Data ServicesGenerative AI ApplicationData Quality Assurance
ATS Keywords
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Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonSQLData Pipeline DevelopmentData TransformationData HarmonizationNon-Relational DatabasesData Product CreationData AnalyticsData Documentation StandardsContinuous Improvement
Soft Skills
CollaborationProactive Problem SolvingContinuous Learning
Tools & Technologies
AWS GlueAWS AthenaAWS Step FunctionsAWS EMRLLMsAI ToolsPrompt Engineering
Industry Keywords
Consumer Credit RecoveryData QualityData AvailabilityData ConsumptionAnalytics Environments
Tech Stack
Tools & technologiesAWSPythonSQL
About the role
Key responsibilities & impact- Proactively and collaboratively understand customers’ pain points and needs
- Refine the functional vision and develop architectural designs based on the challenges of the Consumer Credit Recovery Community
- Ingest data into Analytics environments
- Transform, harmonize, and specialize datasets, creating data products
- Make data available for consumption in online transactional and batch environments
- Ensure sustainable, scalable, and reusable development documentation and standards
- Ensure data timeliness, quality, and availability
- Maintain a continuous learning agenda and stay up to date on market solutions and architectures
- Drive continuous improvement of foundational solutions and data products
Requirements
What you’ll need- Experience developing pipelines with Python
- Advanced SQL knowledge
- Knowledge of AWS Big Data services (Glue, Athena, Step Functions, EMR)
- Knowledge of non-relational databases
- Experience with or understanding of using LLMs for automation
- Interest in or experience applying Generative AI
- Knowledge of AI tools, prompt engineering, and intelligent agents will be considered a plus
Benefits
Comp & perks- Transportation allowance
- Meal vouchers (restaurants) / food vouchers (supermarkets)
- Medical insurance (Fundação Saúde Itaú or Central Nacional Unimed)
- Dental insurance (Odontoprev or Interodonto)
- Life insurance
- PLR – Profit Sharing (subject to the bank’s results)
- Private pension plan
- Exclusive discounts on our financial products
- Extended maternity and paternity leave
- Daycare / nanny allowance (for parents)
- Education assistance
- Wellhub or TotalPass
- Access to Itaú Leisure Clubs (Guarapiranga / Itanhaém and São Sebastião)
- Additional benefits during the hiring process