Live opening · Posted 7 days ago
SENIOR DATA ENGINEER - 35744
ETAS · Campinas, SP, Brazil
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At a glance
The key details from the original listing.
CompanyETAS
LocationCampinas, SP, Brazil
Job typeFull-time
Work modeHybrid
Source
Smartrecruiters
Listed7 days ago
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About the role
Description supplied by the original job listing.
Lead the design and development of scalable Oracle-based data solutions.
Architect and implement complex ETL/ELT frameworks using advanced PL/SQL techniques.
Develop high-performance Packages, Procedures, Views, Materialized Views, and Data Models for enterprise data platforms.
Perform advanced query tuning and database performance optimization.
Define and enforce database development standards, coding best practices, and governance processes.
Drive automation and deployment strategies through CI/CD pipelines using Bitbucket, SourceTree, and Jenkins.
Ensure data integrity, security, availability, and compliance within enterprise environments.
Bachelor's Degree.
Proven experience as an Oracle Developer or Oracle Data Engineer in enterprise environments.
Advanced knowledge of PL/SQL, including development of Packages, Procedures, Functions, Triggers, and Jobs.
Experience developing and maintaining Views, Materialized Views (MViews), Tables, and Database Objects.
Solid understanding of relational and dimensional data modeling (Star Schema and Snowflake Schema).
Experience with large-scale data integration, transformation, and migration projects.
Knowledge of database monitoring, capacity planning, and performance analysis.
Hands-on experience with CI/CD practices for database development and deployment.
Experience using Bitbucket, SourceTree, and Jenkins for version control, code review, and automated deployments.
Experience working in Agile environments using Scrum or Kanban methodologies.
Ability to analyze business requirements and translate them into scalable database solutions.
Strong troubleshooting and problem-solving skills.
Language: Advanced English.
Availability to work in a hybrid model in Campinas (2 days per week).
Desirable Qualifications
Hands-on experience with SSIS, Knime, Pentaho or similar ETL tool.
Knowledge of Azure Data Factory, Microsoft Fabric, or other cloud-based data integration platforms.
Knowledge of Databricks.
Knowledge of Python.
Understanding of Data Warehouse, Data Lake, and Lakehouse architectures.
Experience with SAP data structures and ERP integrations.
Experience collaborating with global stakeholders in multinational environments.
#LI-MM1
Employment type
Full-time
Work arrangement
Hybrid
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