Senior Data Modeler

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

Responsibilities:  

Data Model Design and Development

• Create conceptual, logical, and physical data models to represent business processes and data structures
• Design database schemas and implement them in relational database management systems (RDBMS)
• Develop data models for operational data stores, data marts, and data lakes

Data Analysis and Requirements Gathering

• Analyze business needs and translate them into data modeling solutions
• Work with business users and stakeholders to understand their information requirements
• Evaluate existing data systems and identify areas for improvement

Data Standards and Best Practices

• Define and maintain data modeling standards, guidelines, and best practices
• Ensure consistency in data models across the organization
• Develop and enforce naming conventions and coding standards

Collaboration and Communication

• 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

Additional Responsibilities

• Optimize data query performance through best practices and fine-tuning
• Ensure data integrity and quality across systems
• Develop scripts for data cleansing and automation
• Maintain metadata and data lineage information
• Participate in data governance initiatives

• 10+ year’s experience in Data modelling and ETL related work, preferably in Fintech/Finance and Accounting/ Investments
• Bachelor's degree or higher from an accredited college/university  
• Ability to differentiate between data models for BI vs AI/algorithms
• Work closely with data stewards, data engineers to define and build an optimized data model
• Database Design and Normalization
• SQL and NoSQL Proficiency
• Data Warehousing and ETL Processes
• Big Data Technologies and Frameworks
• Data Mining and Predictive Modelling
• Machine Learning Algorithms familiarity
• Data Visualization Tools and Techniques
• Cloud Computing and Storage Solutions
• Programming Skills in Python, R, or Java
• Understanding of Data Governance and Compliance
• Communication and Collaboration   Technical Proficiency in Data Structures and Databases :
• 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
• Staying abreast of data modeling standards and best practices, ensuring consistency, compliance, and efficiency in data management.
• Expertise in conceptual, logical, and physical data model design, Normalization, and denormalization.
• Understanding Fintech industry-specific regulations and data governance principles, in creating models that meet regulatory requirements and business needs.
• Proficiency in Data Modelling Tools
• Proficiency in a variety of data modelling tools (ER/Studio, IBM Data Architect, or Microsoft Visio or similar tools to create detailed data models
• Analytical and Critical Thinking
• 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.

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.