Description

You will build and maintain scalable data management systems and ETL pipelines to support financial crimes applications.

Responsibilities

• Build and update ETL data pipelines using DataStage and DBT for data ingestion.
• Design, construct, test, and maintain data management systems and custom software components.
• Collaborate with business analysts, data architects, and upstream teams to manage data source impacts during modernization.
• Develop processes for data mining, data modeling, and data production.
• Ensure data quality and reliability through testing and improved disaster recovery procedures.

Required Skills

• 12+ years of experience in data engineering or related fields.
• Proficiency with ETL processes and DataStage.
• Strong experience with SQL and MySQL.
• Hands-on work with NoSQL databases including MongoDB and Hadoop.
• Experience programming or architecting with back-end languages such as Java or J2EE.
• Knowledge of data mining practices, algorithms, and predictive modeling.
• Experience with Snowflake and general data engineering workflows.
• Ability to integrate new data management technologies into existing structures.

Preferred Skills

• Experience in Business Intelligence and data acquisition research.

Key Skills

Education

Any Gradute