Position: Data Modeler - Retail Industry
Company: Texendev
Experience required: 5y
English level: upper

**Working hours are Eastern time zone (Washington time)**
**Job Description: **

We are seeking an experienced and skilled Data Modeler with a strong
background in the retail industry. The ideal candidate will have expertise in designing and implementing dimensional data models in Erwin, as well as experience with the Snowflake and Databricks platforms, and building models from Kafka/JSON source data. As a Data Modeler,
you will play a crucial role in designing, developing, and maintaining data models to support our retail analytics and business intelligence initiatives.

**Responsibilities:**

1. Develop and maintain Erwin data models that align with business requirements and best
practices for the retail industry.
2. Collaborate with cross-functional teams to gather data requirements and understand
business processes and objectives.
3. Design and implement efficient and scalable data models to support data integration, data
warehousing, and reporting needs.
4. Perform data profiling and analysis to identify data quality issues and recommend data
cleansing and transformation strategies.
5. Optimize data models for performance and ensure data integrity and consistency.
6. Collaborate with data engineers to implement data pipelines and ETL processes using ADF, Databricks, and Snowflake.
7. Work closely with data scientists and analysts to ensure data models meet analytical and reporting requirements.
8. Document data models, data flows, and data dictionaries for reference and future enhancements.
9. Stay up to date with emerging trends and technologies in data modeling, retail analytics, and cloud-based data platforms.

**Qualifications:**

1. Bachelor's degree in Computer Science, Information Systems, or a related field. A
A master's degree is a plus.
2. Proven experience as a Data Modeler, Data Architect, or similar role in the retail industry.
3. Strong knowledge of data modeling concepts, techniques, and best practices.
4. Hands-on experience with Snowflake, Databricks, and Kafka JSON messages.
5. Proficiency in SQL, ETL processes, and data integration methodologies.
6. Familiarity with Azure and Big Data technologies.
7. Excellent analytical and problem-solving skills with attention to detail.
8. Strong communication and collaboration skills to work effectively with cross-functional
teams.
9. Ability to prioritize and manage multiple projects and deliverables simultaneously.
10. Knowledge of retail industry trends, metrics, and business processes is a plus.

Join our team and contribute to the success of our retail organization by designing and implementing robust data models that enable effective decision-making, drive business insights, and enhance our customer experience!