Data Scientist and Engineer Position
2 days ago
This is a key position for an individual who can design, develop, and maintain data infrastructure.
The successful candidate will work closely with data scientists, analysts, and stakeholders to ensure data integrity, build robust data pipelines, and deliver insightful analytics solutions.
Key Responsibilities:
- Data Modeling:
- Develop and maintain data models to support analytics and reporting.
- Design dimensional models and star schemas to effectively organize retail data including sales, inventory, customer behavior, and product performance metrics.
- Data Quality Management & Governance:
- Develop and implement comprehensive data quality frameworks and monitoring systems to ensure accuracy, completeness, and consistency of retail and e-commerce data.
- Project and Team Management:
- Lead end-to-end analytics projects from initiation to delivery, ensuring adherence to timelines, budgets, and quality standards.
- Coordinate cross-functional project teams including data engineers, analysts, and business stakeholders to achieve project objectives.
Requirements:
- Education: Bachelor's degree in Computer Science, Data Science, Engineering, or related field.
- Experience: 6+ years of experience in analytics.
Technical Skills:
- Proficiency in SQL and database technologies.
- Core expertise with dbt (data build tool).
- Experience with data pipeline tools (e.g., Apache Airflow).
- Familiarity with cloud platforms (e.g., AWS, Google Cloud).
- Knowledge of Python or R.
- Experience with data visualization tools (e.g., Tableau, Power BI).
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