Data Engineer

Position Overview 

We are seeking a talented and experienced Data Engineer to join our team and play a crucial role in transforming raw data into actionable insights. As a Data Engineer with a strong foundation in dbt, you will be responsible for designing, developing, and maintaining data pipelines and data models that support our organization's analytics and reporting needs.

The Role

• Data Modeling: Design and implement robust data models using dbt, ensuring data integrity and consistency across various data sources.
• Data Pipelines: Develop and maintain efficient data pipelines to extract, transform, and load (ETL) data from diverse sources into our data warehouse.
• dbt Development: Leverage dbt to create reusable and maintainable data transformations, tests, and documentation.
• Data Quality: Implement data quality checks and monitoring processes to ensure data accuracy and reliability.
• Collaboration: Work closely with data analysts and business stakeholders to understand their requirements and translate them into technical solutions.
• Optimization: Continuously optimize data pipelines and models for performance and scalability.
• Documentation: Create clear and comprehensive documentation for data pipelines, models, and processes.

Qualifications

• Bachelor's degree in Computer Science, Data Engineering, or a related field.
• 3+ years of experience as a Data Engineer or a similar role.
• Strong proficiency in SQL and Python.
• In-depth knowledge of dbt and its best practices.
• Experience with cloud platforms (e.g., AWS, GCP, Azure).
• Familiarity with data warehousing concepts and tools.
• Excellent problem-solving and analytical skills.
• Ability to work independently and as part of a team.

Core Skills

• Experience with data visualization tools (e.g., Tableau, Power BI).
• Knowledge of data governance and compliance frameworks.