LinuxCareers
Data Engineer Senior
Coforge seeks a Senior Data Engineer in Peru to design, build, and optimize batch and near real-time ETL data pipelines for financial services (banking) clients, working with Azure Data Factory, Azure Databricks, and Oracle PL/SQL, including data warehouse/lake work and data integrity assurance.
- Compensation
- Not disclosed
- Location
- Peru
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 1+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 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
Full description
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