Coforge is seeking a Senior Data Engineer to design, develop, and optimize batch and near real-time data pipelines for financial services clients in Peru. The role focuses on ETL processes, data warehouse/lake implementations, and maintaining data integrity and availability in banking environments.

What You'll Do

- Design, develop, and optimize batch and near real-time data pipelines ensuring data integrity, confidentiality, and availability
- Develop and maintain ETL processes for data integration and transformation using Azure Data Factory and Azure Databricks
- Build and optimize stored procedures, packages, and complex queries in Oracle PL/SQL
- Apply validation and testing procedures including unit, integration, and stress testing
- Identify optimization opportunities in data integration processes and SQL queries
- Participate in analysis sessions, brainstorming, and data solution design with cross-functional teams
- Coordinate incident resolution and manage project risks and deviations

What You Need

- Minimum 3 years experience in Data Engineering projects within the banking sector
- Minimum 1 year development experience with Azure Data Factory
- Minimum 1 year development experience with Azure Databricks
- Minimum 3 years developing Oracle stored procedures and packages
- Minimum 3 years building ETL processes using data integration tools
- Advanced knowledge of SQL and Oracle PL/SQL




- Basic understanding of dimensional modeling for Data Warehouse and Data Lake
- Basic database modeling knowledge under third normal form (3NF)
- Basic Linux or Unix knowledge including shell script execution, file administration, and permission management
- Experience working with large-volume data integration and transformation environments

Nice to Have

- Experience with CRM implementation or integration projects
- Functional and technical CRM concepts knowledge
- Microsoft Azure certifications
- Databricks certifications
- Modern data architecture and data engineering best practices knowledge
- Experience in digital transformation initiatives within the financial sector

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Data pipelines, SQL, Shell scripting, Dimensional modeling, 3NF
Design, develop, and optimize batch and near real-time data pipelines ensuring data integrity, confidentiality, and availability., Develop and maintain ETL processes for data integration and transformation using Azure Data Factory and Azure Databricks., Build and optimize stored procedures, packages, and complex queries in Oracle PL/SQL., Apply validation and testing procedures including unit, integration, and stress testing., Identify optimization opportunities in data integration processes and SQL queries., Participate in analysis sessions, brainstorming, and data solution design with cross-functional teams., Coordinate incident resolution and manage project risks and deviations.

📌 Data Engineer Senior (Lima)
🏢 LinuxCareers
📍 Lima