Description

You will design, develop, test, deploy, and maintain data solutions, ensuring the data component aligns with established Data Architecture patterns.

Responsibilities

• Design, develop, and test high-quality, testable code for data systems.
• Ensure data management processes (generation, standardization, transformation, migration, delivery) meet data architecture policies.
• Troubleshoot, debug, and upgrade existing systems, including participation in DR tests.
• Document software functionality and contribute to software verification plans.
• Integrate software components into fully functional platforms while managing data risks.

Required Skills

• 5+ years of technical experience, preferably within the financial services industry.
• Solid experience in Data Engineering, including ELT/ETL, data extraction, and manipulation in Data Lake/Warehouse/Lake House environments.
• Hands-on programming skills in Python, SQL, and Unix Shell scripts in complex enterprise settings.
• Expertise in relational Databases (Oracle, MS SQL, DB2), including SQL/PLSQL, database design, and execution plan analysis.
• Experience configuring management using Ansible, Jenkins, or GIT.
• Knowledge of Data Modelling techniques for Data Warehouse/Data Mart applications.
• Experience querying data from structured and unstructured sources.
• Familiarity with Data Architecture Principles, Data Controls, and Data Policies.

Key Skills

Education

Any Graduate