Python data modeller

Overview

We are seeking a skilled Python Data Modeler with 7 to 10 years of experience to join our team. The ideal candidate will be responsible for designing and implementing data models that enhance our data analytics capabilities. You will collaborate with data engineers, data scientists, and business stakeholders to ensure that our data architecture meets the needs of the organization.

Responsibilities

• Data Modeling : Design, develop, and maintain data models that support business requirements and analytics.
• Data Integration : Collaborate with data engineers to integrate data from various sources into the data warehouse.
• ETL Processes : Develop and optimize ETL (Extract, Transform, Load) processes using Python and relevant frameworks.
• Database Management : Work with SQL and NoSQL databases to ensure efficient data storage and retrieval.
• Collaboration : Work closely with cross-functional teams to understand data requirements and provide solutions.
• Documentation : Create and maintain documentation for data models, ETL processes, and data flows.
• Performance Tuning : Monitor and optimize data models and queries for performance improvements.
• Data Quality : Implement data quality checks and validation processes to ensure data integrity.

Requirements

Required Skills :

Qualifications :

Skills Required

Cassandra, Postgresql, Sql, Nosql, Apache Airflow, Numpy, Erwin, Git, Pandas, Mysql, Data Warehousing, Mongodb, Talend, Python