Senior Data Modeler
Há 6 dias
Truelogic is a leading provider of nearshore staff augmentation services, located in New York. Our team of 500 tech talents is driving digital disruption from Latin America to the top projects in U.S. companies. Truelogic has been helping companies of all sizes to achieve their digital transformation goals.
Would you like to make innovation happen? Have you ever dreamed of building Products that impact millions of users? Nice Then we have a seat for you on our team
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**What are you going to do?**:
You will have the opportunity to work in a forward-thinking and growth-oriented environment, at one of the biggest retail companies in the US.
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.
- Develop and maintain Erwin data models that align with business requirements and best practices for the retail industry;
- Collaborate with cross-functional teams to gather data requirements and understand business processes and objectives;
- Design and implement efficient and scalable data models to support data integration, data warehousing, and reporting needs;
- Perform data profiling and analysis to identify data quality issues and recommend data cleansing and transformation strategies;
- Optimize data models for performance and ensure data integrity and consistency;
- Collaborate with data engineers to implement data pipelines and ETL processes using ADF, Databricks, and Snowflake;
- Work closely with data scientists and analysts to ensure data models meet analytical and reporting requirements;
- Document data models, data flows, and data dictionary for reference and future enhancements;
- Stay up to date with emerging trends and technologies in data modeling, retail analytics, and cloud-based data platforms.
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**Why do we need your skills?**
- We are seeking an experienced and skilled Data Modeler with a strong background in the retail industry;
- Strong knowledge of data modeling concepts, techniques, and best practices;
- Hands-on experience with Snowflake, Databricks, and Kafka JSON messages;
- Proficiency in SQL, ETL processes, and data integration methodologies.
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