Senior Data Modeller
3 weeks ago
About Unifocus
At Unifocus, we are a cutting-edge workforce management software platform that aims to revolutionize the hospitality market with our innovative solutions. We are seeking a highly skilled Data Engineer to join our team and contribute to our mission of leveraging data to drive meaningful insights and deliver exceptional customer experiences.
Key Responsibilities
- Design, develop, and implement robust and efficient data models, specializing in Extract, Transform, Load (ETL) processes, ensuring optimal performance, scalability, and maintainability.
- Collaborate closely with cross-functional teams to deeply understand business requirements, translating them into effective data models that support the organization's data-driven initiatives.
- Develop, maintain, and enhance conceptual, logical, and physical data models, ensuring alignment with industry best practices and standards.
- Conduct thorough analysis of data sources, identifying patterns and relationships, and translating these insights into comprehensive data models.
- Implement advanced data modelling techniques, including normalization, indexing, and partitioning, to optimize data storage, retrieval, and analysis processes.
- Integrate data models into ETL processes, ensuring data integrity and consistency throughout the entire data pipeline.
- Collaborate with database administrators and infrastructure teams to ensure seamless integration of data models into the overall data architecture.
- Stay updated with the latest industry trends, technologies, and best practices related to data engineering, data modelling, and ETL processes.
- Conduct performance tuning and optimization of existing data models, proactively identifying and addressing any issues or bottlenecks.
- Document data modelling and ETL processes, methodologies, and decisions, fostering knowledge sharing and providing clear documentation for future reference.
- Provide mentorship and guidance to junior members of the data engineering team, promoting knowledge transfer, a culture of continuous learning, and skills development.
Requirements
- Bachelor's degree in computer science, Information Systems, or a related field. Master's degree is a plus.
- Proven work experience of 8+ years as a Data Engineer with a significant focus on data modelling and ETL processes.
- Expertise in SQL and proficiency in data modelling techniques across conceptual, logical, and physical dimensions.
- Strong analytical and problem-solving skills, with the ability to translate complex business requirements into effective data models.
- In-depth knowledge of database systems (both relational and NoSQL) and experience with data warehousing concepts.
- Proficiency in programming languages such as Python, Java, or Scala, with the ability to write efficient and maintainable code.
- Hands-on experience with data integration tools and a strong familiarity with cloud-based data warehousing and processing is highly desirable.
- Experience working with Dundas BI would be good to have.
- Excellent communication and interpersonal skills, facilitating effective collaboration with both technical and non-technical stakeholders.
- Proactive and self-driven, with a strong desire to stay current with emerging technologies and industry best practices in data modelling and ETL processes.
What We Offer
- A competitive salary
- Health insurance
- Paid time off
- A hybrid environment that promotes a healthy work-life balance
- Parental leave
- Professional development assistance
- Referral program
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