Romania Job Openings
Blankfactor
Senior Data Modeler
Bucharest
FULL TIME
September 3, 2024
Key Responsibilities
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Develop and maintain conceptual, logical, and physical data models to support different domains of payment processing system.
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Ensure data models are optimized for performance, scalability, and maintainability.
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Create data flow diagrams and entity-relationship diagrams (ERDs) to represent data structures and relationships.
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Collaborate with business analysts, software engineers, product, and other stakeholders to gather and analyze data requirements.
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Translate business requirements into data models that support payment transactions, card issuance, and other related financial services.
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Establish and enforce data modeling standards and best practices.
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Work with data engineers to implement data validation and cleansing processes to ensure accuracy and integrity.
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Work with data engineers to conduct regular data quality assessments and implement corrective actions as needed.
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Work with data engineers/analysts to analyze and optimize database performance to handle high volumes of transactions efficiently.
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Work with data engineers/analysts to implement indexing, partitioning, and other performance-enhancing techniques.
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Document data models, data dictionaries, and metadata for transparency and ease of use.
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Provide clear and concise communication to technical and non-technical stakeholders regarding data architecture and design decisions related to data models.
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Ensure data models comply with industry standards, regulatory requirements, and security protocols.
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Stay up-to-date with industry trends, emerging technologies, and best practices in data modeling, customer account management, and payment processing.
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Proactively identify opportunities for process improvements and implement innovative solutions.
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Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, or a related field.
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Proven experience as a Data Modeler in the payments industry, particularly with issuer processors.
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Strong understanding of payment processing systems, customer account management, card issuance and other related financial services.
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Proficiency in data modeling tools such as ERwin, Power Designer, or similar.
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Experience with relational and No SQL databases (e.g., Oracle, SQL Server, Mongo DB).
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Familiarity with data warehousing, ELT processes, and modern data architecture (Lakehouse).
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Strong analytical, problem-solving, and communication skills.
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Familiarity with regulatory requirements and security standards in the financial industry.
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Familiarity with cloud-based data warehouse solutions such as Snowflake, Redshift etc.
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Competitive salary aligning with industry benchmarks
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25 days paid vacation
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Premium private health insurance coverage
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Sports benefits subscription
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$500 dedicated self-development budget
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Meal tickets
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25 Lei lunch budget when working from the office
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Friendly office atmosphere
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Diverse client portfolio
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Cutting-edge high-tech stack
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Fintech Expertise: expertise in machine learning, data science, big data, and AI, driving innovation and cutting-edge solutions
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Continuous Learning Culture and Support
We believe that diversity of experience and background contributes to more robust ideas and a stronger team. All qualified applicants will receive consideration for employment without regard to religion, race, sex, sexual orientation, gender identity, national origin, or disability.
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