Data Warehouse Software Developer

Raiffeisen Bank Romania — Romania · Posted ~2 days ago

Mid Full-time Hybrid

Skills

SQL PL/SQL Data Modelling ETL Oracle Data Warehouse Python Database Design Data Analysis ODI PySpark

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Summary

A financial technology team is seeking a data-focused software developer to design and maintain data warehouse solutions. The role includes ETL development, database optimization, data modeling, and collaboration with business and technical stakeholders.

Highlights

Provides flexible work options, extensive benefits, training opportunities, and the chance to work on large-scale data solutions in a structured environment.

Description

Role 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 and Oracle stored procedures/packages 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. Benefits Meal Vouchers13th SalaryRemote WorkPrivate Pension PlanPrivate Health InsuranceAdditional Vacation Days (more than 21 days annually)Flexible Working HoursWell-being ProgramTeam Building ActivitiesTraining and Development Programs Technical Skills Proficient 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 Agile–Scrum 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