Senior Data Modeler

We are seeking a Senior Data Modeler to join our team remotely.

Responsibilities:

• Work closely with data stewards, data engineers to define and build an optimized data model
• Understanding Fintech industry-specific regulations and data governance principles, in creating models that meet regulatory requirements and business needs.
• Create data models that effectively support the highly scalable storage, retrieval, and manipulation of data.
• Analyze business needs and translate them into data modeling solutions
• Evaluate existing data systems and identify areas for improvement
• Define and maintain data modeling standards, guidelines, and best practices
• Ensure consistency in data models across the organization

• Work closely with data architects, database administrators, and other IT professionals
• Collaborate with development teams to implement databases and data warehouses
• Present data modeling concepts and solutions to technical and non-technical audiences.
• Optimize data query performance through best practices and fine-tuning.
• Ensure data integrity and quality across systems.
• Maintain metadata and data lineage information.
• Participate in data governance initiatives.
• Staying abreast of data modeling standards and best practices, ensuring consistency, compliance, and efficiency in data management.

• 10+ year’s experience in Data modelling and ETL-related work, preferably in Fintech/Finance and Accounting/ Investments.
• Data Warehousing and ETL Processes
• SQL and NoSQL Proficiency
• Database Design and Normalization
• Understanding of Data Governance and Compliance
• Deep understanding of data structures, database management systems (DBMS), and the ability to design schemas that are both scalable and performant.
• Knowledge of SQL and experience with various database technologies like relational databases, NoSQL, and cloud-based data storage solutions.
• Creation of data models that effectively support the highly scalable storage, retrieval, and manipulation of data.
• Knowledge of Data Modelling Standards and Best Practices
• Expertise in conceptual, logical, and physical data model design, Normalization, and denormalization.
• Proficiency in a variety of data modelling tools (ER/Studio, IBM Data Architect, or Microsoft Visio or similar tools) to create detailed data models.
• Ability to differentiate between data models for BI vs AI/algorithms
• Machine Learning Algorithms familiarity
• Great communication skills
• Proven track record exhibiting strong analytical and critical thinking skills to dissect complex data requirements and translate them into coherent data models.
• Ability to identify patterns, understand relationships between data entities, and foresee the implications of data structure decisions on data integrity and quality.

Nice To have:

• Big Data Technologies and Frameworks.
• Data Mining and Predictive Modelling.
• Data Visualization Tools and Techniques.
• Cloud Computing and Storage Solutions.
• Programming Skills in Python, R, or Java.

We offer:

• Culture of Relentless Performance: join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth. 
• Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, and a relocation program. 
• Work From Anywhere Culture: make the most of the flexibility that comes with remote work. 
• Growth Mindset: reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities. 
• Global Impact: collaborate on impactful projects for top global clients and shape the future of industries. 
• Welcoming Multicultural Environment: be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events. 
• Social Sustainability Values: join our sustainable business practices focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality. 

* Miratech is an equal opportunity employer and does not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law.

All your information will be kept confidential according to EEO guidelines.