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Senior Data Engineer
Itaú UnibancoData Engineer role focusing on AWS solutions for Itaú group. Projecting and developing scalable data solutions and ensuring data quality and governance.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and maintaining data pipelines within AWS environments, focusing on data quality, governance, and scalable architectures. Proficient in implementing event-driven processing and CI/CD practices to enhance data solutions.
Highest-signal resume keywords
AWS Glue Jobs (Spark/PySpark)AWS LambdaAmazon S3 (Data Lake)Data ArchitectureEvent-Driven Architectures
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Pipeline DevelopmentBatch Processing SolutionsData TransformationData Quality AssuranceQuery Performance Optimization
Tools & Technologies
Amazon AthenaAmazon SQSAmazon EventBridgeAWS Step FunctionsAWS Secrets ManagerAWS IAM
Industry Keywords
Data LakeData MeshDistributed ProcessingHigh-Volume Data EnvironmentsObservability
Tech Stack
Tools & technologiesAWSPySparkSpark
About the role
Key responsibilities & impact- Design, develop and maintain data pipelines in an AWS environment.
- Structure and evolve layered data architectures, including SOR (System of Record), SOT (Source of Truth) and specialized layers.
- Implement strategies for large-scale data ingestion, transformation and provisioning.
- Develop batch and event-driven processing solutions.
- Ensure data quality, consistency, traceability and governance.
- Define and implement partitioning strategies, processing optimizations and query performance improvements.
- Manage data history, versioning and lineage.
- Write reusable, scalable code that adheres to software engineering best practices.
- Implement automated testing and monitoring for data processes.
- Serve as a technical reference for the squad, supporting architectural decisions and the evolution of the data platform.
Requirements
What you’ll need- AWS Glue Jobs (Spark/PySpark)
- AWS Lambda
- Amazon S3 (Data Lake)
- Amazon Athena
- Amazon SQS
- Amazon EventBridge
- AWS Step Functions
- AWS Secrets Manager
- AWS IAM
- Experience with modern data architecture, distributed processing and building scalable cloud solutions.
- Experience with event-driven architectures.
- Knowledge of Data Lakes and Data Mesh.
- Experience with CI/CD, observability and data quality.
- Experience working in high-volume, highly scalable data environments.
Benefits
Comp & perks- Transportation allowance
- Meal voucher (restaurants) / Grocery voucher (supermarkets)
- Medical plan (Fundação Saúde Itaú or Central Nacional Unimed)
- Dental plan (Odontoprev or Interodonto)
- Life insurance
- Profit sharing (PLR) — subject to the bank's results
- Private pension plan
- Exclusive discounts on our financial products
- Extended maternity and paternity leave
- Childcare / nanny subsidy (for parents)
- Education assistance
- Wellhub or TotalPass (wellness benefit)
- Access to Itaú leisure clubs (Guarapiranga / Itanhaém and São Sebastião)