SENIOR DATA ENGINEER - 35744

Robert Bosch Group; Campinas; Híbrido; BRL 201 000 - 335 000; Tempo integral

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.

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- Prazo: 05/10/26