SENIOR DATA ENGINEER - 35744

Robert Bosch Group

Campinas

Híbrido

BRL 201 000 - 335 000

Tempo integral

Há 7 dias
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Resumo da oferta

Robert Bosch Group is seeking an experienced Oracle Developer/Data Engineer to lead the design and implementation of scalable Oracle-based data solutions in a hybrid Campinas environment. You will architect ETL/ELT frameworks using advanced PL/SQL techniques and develop high-performance database objects for enterprise platforms.

The role requires deep PL/SQL knowledge, experience with data modeling (Star/Snowflake), and strong CI/CD experience (Bitbucket, SourceTree, Jenkins).

Qualificações

  • Bachelor's degree required.
  • Proven Oracle Developer or Oracle Data Engineer experience in enterprise environments.
  • Advanced PL/SQL skills including packages, procedures, functions, triggers and jobs.
  • Strong knowledge of relational and dimensional data modeling (Star/Snowflake).
  • Experience with large-scale data integration, transformation, and migration projects.
  • C/CI/CD practices for database development and deployment.
  • Fluent English.
  • Ability to work in a hybrid model in Campinas (2 days per week).

Responsabilidades

  • Lead design and development of scalable Oracle-based data solutions.
  • Architect and implement ETL/ELT frameworks using PL/SQL techniques.
  • Develop high-performance packages, procedures, views, materialized views, and data models.
  • Perform advanced query tuning and database performance optimization.
  • Define and enforce database standards, coding best practices, and governance.
  • Drive automation and deployment strategies through CI/CD using Bitbucket, SourceTree, Jenkins.
  • Ensure data integrity, security, availability, and compliance.

Conhecimentos

Oracle
PL/SQL
Data modeling
Query tuning
Agile/Scrum/Kanban
English (Advanced)
Troubleshooting
Problem solving

Formação académica

Bachelor's Degree

Ferramentas

Bitbucket
SourceTree
Jenkins
SSIS
Knime
Pentaho
Azure Data Factory
Databricks
Python
SAP

Descrição da oferta de emprego

  • 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

- Prazo: 05/10/26

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