Welcome to Xander Talent: Your Partner in Building Exceptional TeamsAt Xander Talent, our commitment extends beyond being a conventional human resource solution provider; we position ourselves as strategic partners dedicated to cultivating exceptional teams that propel success in the dynamic and rapidly changing business landscape. Rooted in our core values of integrity, innovation, and adaptability, we navigate the intricate world of human resources to provide customized solutions that resonate with the unique needs of our clients.Integrity is the cornerstone of our approach. We believe in transparency, honesty, and ethical practices. By upholding the highest standards of integrity, we ensure that our clients can trust us implicitly, fostering a relationship built on reliability and accountability.Innovation is at the heart of what we do. In an era of constant change, we embrace creativity and forward-thinking to revolutionize traditional HR practices. By leveraging cutting-edge technologies and pioneering methodologies, we stay ahead of the curve, offering innovative solutions that address the challenges of the modern workplace.Adaptability is ingrained in our DNA. Recognizing that every organization is unique and faces distinct challenges, we tailor our HR solutions to suit the evolving needs of our clients. In an environment where flexibility is key, we remain agile, adjusting our strategies to accommodate the ever-shifting dynamics of the business world.Our relentless pursuit of excellence is evident in our unwavering commitment to delivering tailored and effective HR solutions. We understand that success is not one-size-fits-all; hence, our approach is highly personalized. Whether it's talent acquisition, workforce development, or organizational strategy, we meticulously craft solutions that align with our clients' goals and aspirations.

Job description

Responsibilities:

Logical Data Modeling: Develop and maintain logical data models using best practices, ensuring accuracy and efficiency in the representation of complex business requirements.

Tool Proficiency: Demonstrate expertise in utilizing Snowflake and Erwin modeling tools for logical data modeling tasks, ensuring seamless collaboration and efficient workflow.

Dimensional Modeling: Design and implement dimensional models to support business intelligence and analytical reporting needs, optimizing data structures for performance and query efficiency.

Conceptual Modeling: Translate high-level business requirements into conceptual models, ensuring alignment between business objectives and data architecture.

Physical Data Model Creation: Collaborate with database administrators and engineers to translate logical and conceptual models into efficient physical data models, optimizing database performance and storage utilization.

Data Integrity: Ensure data integrity and accuracy within logical and physical data models, implementing validation techniques and data governance best practices.

Documentation: Create comprehensive documentation for all data models, including entity-relationship diagrams, data dictionaries, and metadata definitions, ensuring clear communication and understanding among stakeholders.

Collaboration: Collaborate effectively with cross-functional teams, including business analysts, developers, and architects, to gather requirements, resolve issues, and ensure the successful implementation of data models.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.

• Proven experience in logical data modeling using Snowflake and Erwin modeling tools.

• Strong understanding of dimensional modeling, conceptual modeling, and physical data model creation.

• Proficiency in SQL and database query optimization techniques.

• Excellent analytical and problem-solving skills with attention to detail.

• Strong communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders.

• Experience working in agile environments and ability to adapt to changing requirements.

• Knowledge of data governance principles and best practices is a plus.

Required profile