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Data Engineer Senior

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Summary

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.

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

Skills

What Senior Data Engineering jobs ask for — and how much of it you have →
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See also

Data Engineering jobs by country — openings, pay and top skills →