Data Developer - Banking

Responsibilities:

• Collaborates with business stakeholders and IT application owners to understand, document, and design data warehouse processes.
• Contributes to the definition, development, and implementation of data warehouse solutions.
• Creates and maintains data mapping logic to transfer content from various source systems into the data warehouse.
• Designs, develops, tests, optimizes, and deploys ODI packages, Oracle stored procedures/packages, Databricks jobs to perform ETL functions.
• Plans and coordinates ETL and database rollouts alongside project teams, developers, and database engineers.
• Provides support, maintenance, troubleshooting, and resolution for ETL processes.
• Designs and establishes technical frameworks for the data warehouse.

Qualifications:

• Experience in Data Modelling and Source System Analysis.
• Expert in SQL and PL/SQL.
• Experienced with ETL processes and tools such as ODI or other ETL technologies, as well as working with largescale databases.
• Skilled in Python for data engineering purposes.
• Familiar with PySpark.
• Capable of performing data profiling, cataloging, and mapping for the design and construction of data flows.
• Experience with data visualization and exploration tools.
• Solid understanding of data warehouse concepts.
• Skilled in database design, modelling, and analyzing large datasets.
• Exposure to diverse configurations, technologies, and processing environments.
• Proficient in advanced performance tuning techniques for complex data transformations.
• Experience within the banking sector is advantageous.
• Fast learner, able to master the functionalities and applications of new technologies.
• Familiarity with Agile-Scrum methodology is a plus.
• Proficient in English