{"id":2263794,"url":"https://alion.io/job/ets-data-developer","title":"Data Developer","company":{"id":3876168,"name":"Euro-Testing Software Solutions","domain":"ets.dev","url":"https://alion.io/company/ets-5","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_city","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Bucharest, 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areas: • Software Testing (manual testing, testing automation, performance testing, outsourcing, training and certification, etc.) • Cyber ​​Security • DevOps/DevSecOps • Implementation and Customization of Atlassian & OpenText products (MicroFocus) and other niche products/solutions • AI based Decision Intelligence solutions.Responsabilități\n• 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.Cerințe\n• 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 Agile–Scrum methodology is a plus. • Proficient in English. • 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 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