Python Data Engineer
2 months ago
Job Description :
We are seeking a talented and experienced Python Data Engineer to join our data team and play a crucial role in building, maintaining, and optimizing data pipelines for our cloud-based data warehouse.
Responsibilities :
- Design, develop, and implement data pipelines for ingesting, transforming, and loading data into Snowflake using Python scripting.
- Utilize cloud services like AWS to orchestrate and manage data pipelines efficiently.
- Possess strong database engineering skills to design and optimize data models for Snowflake.
- Leverage frameworks like Airflow or Luigi to schedule and automate data pipeline executions.
- Identify performance bottlenecks and bugs within data pipelines, then develop scalable solutions for improvement.
- Implement unit testing practices to ensure the quality and reliability of data pipelines.
- Document data pipelines thoroughly for clear understanding and future maintenance.
- Work independently and manage a pipeline of tasks with minimal supervision.
Qualifications :
- 3+ years of experience as a Data Engineer with a strong focus on Python programming.
- Expertise in working with distributed data warehouses (DW) like Snowflake and cloud services like AWS.
- Solid understanding of database concepts, data modeling principles, and data normalization techniques.
- Experience building and maintaining ETL pipelines using Python scripting and relevant frameworks.
- Proven ability to troubleshoot and debug data pipelines effectively.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration skills.
Good to Have :
- Experience with DBT (Data Build Tool) for data transformation within Snowflake.
- Familiarity with other cloud platforms like Azure or Google Cloud Platform (GCP) is a plus.
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