We are seeking a highly skilled Data Engineer to join our team in the banking industry.
The ideal candidate will be responsible for designing, building, and maintaining scalable ELT pipelines, optimizing database performance, and ensuring data integrity across various cloud environments. You will work closely with cross-functional teams to develop high-performance data solutions and ensure compliance with best practices.
responsibilities :
Design, build, and maintain scalable ELT pipelines
Develop and optimize PL/SQL queries and database objects for high-performance data storage in Oracle
Write Python-based data engineering scripts to process data
Implement CI/CD pipelines for data infrastructure and workflow automation
Manage database change processes effectively
Work with one or more major cloud providers
Integrate and manage a modern data stack
Monitor, debug, and optimize data workflows and infrastructure performance
Ensure data quality, governance, and compliance with best practices
requirements-expected :
At least 4 years of experience in a similar field
Proficiency in designing OLAP systems (STAR schema, denormalization)
Strong knowledge of Python and PL/SQL
Experience in ELT/ETL development using GUI-based tools (IBM Datastage, ADF, Stitch, Matillion)
Expertise in Database Management: Oracle, MSSQL, Snowflake
