Data Developer

• 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 large-scale 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 AgileScrum methodology is a plus.
• Proficient in English.

Soft Skills

• Strong analytical and problem-solving abilities with the capacity to translate business needs into actionable data-driven solutions.
• Excellent communicator able to convey complex concepts clearly to both technical and non-technical audiences.
• Effective team player with strong interpersonal and collaborative skills.
• Able to manage multiple tasks simultaneously and deliver quality results within deadlines.

Additional Information :

Benefits:

• Full access to foreign language learning platform
• Personalized access to tech learning platforms
• Tailored workshops and trainings to sustain your growth
• Medical insurance
• Meal tickets
• Monthly budget to allocate on flexible benefit platform
• Access to 7 Card services
• Wellbeing activities and gatherings

The working mode is hybrid: 2 days/week in the office.

Remote Work :

No

Employment Type :

Full-time