Data Developer - Banking

About Qualysoft   ·        25 years of experience in software engineering, established in Vienna, Austria ·        Active in Romania since 2007, with office in central Bucharest (Bd. Iancu de Hunedoara 54B) ·        Delivering End to End IT Consulting Services  - From Team Augmentation and Dedicated Teams to Custom Software Development  ·        We deliver scalable enterprise systems, intelligent automation frameworks, and digital transformation platforms ·        Cross-industry experience by sustaining global players in BSFI (Banking, financial services and insurance), Telecom,Retail & E-commerce, Energy and Utilities, Automotive, Manufacturing, Logitics, High Tech ·        Global Presence: Switzerland, Germany, Austria, Sweden, Hungary, Slovakia, Serbia, Romania, and Indonesia ·        International team of 500+ software engineers ·        Strategic partnerships: Microsoft Cloud Certified Partner, Tricentis Solutions Partner in Test Automation and Test Management, Creatio Exclusive Partner, Doxee Implementation Partner ·        Powered by cutting-edge technologies: AI, Data & Analytics, Cloud, DevOps, IoT, and Test Automation. ·        Project beneficiaries ranging from large-scale enterprises to startups ·        Stable growth and revenue increase year over year, a resilient organisation in volatile IT market conditions ·        Quality-first mindset, culture of innovation, and long-term client partnerships ·        Global and local reach – trusted by key industry players in Europe and the US What We Offer   ·        Premium medical package ·        Lunch Tickets & Pluxee Card ·        Bookster subscription ·        13th salary/yearly bonuses ·        Enterprise job security with a startup mentality (diverse & engaging environment, international exposure, flat hierarchy) under the stability of a secure multinational ·        A supportive culture (we value ownership, autonomy, and healthy work-life balance) with great colleagues, team events and activities ·        Flexible working program and openness to remote work ·        Collaborative mindset – employees shape their own benefits, tools, team events and internal practices ·        Diverse opportunities in Software Development with international exposure ·        Flexibility to choose projects aligned with your career path and technical goals ·        Access to leading learning platforms, courses, and certifications (Pluralsight, Udemy, Microsoft, Google Cloud) ·        Career growth & learning – mentorship programs, certifications, professional development opportunities, and above-market salary   *We are an equal opportunity employer and value diversity. All employment decisions are made without regard to age, gender, disability, race, ethnicity, religion, sexual orientation, or any other protected characteristic. We encourage applicants from all backgrounds to apply.*

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