Senior Python Developer with Snowflake
Overview
You will own data pipeline architecture and optimization at an enterprise scale, using Python and Snowflake. You'll join a team of data engineers and cloud specialists, building scalable data solutions. 12+ years of experience is required. This role stands out for its focus on Snowflake and AWS/Azure/Google Cloud Platform integration.
What You'll Do8
- 1Build scalable data solutions with Python and Snowflake, delivering high-throughput ETL pipelines.
- 2Optimize data pipelines for performance, reducing query times by 30% within the first 90 days.
- 3Design and implement ELT workflows, leveraging Snowflake's data warehousing capabilities.
- 4Integrate cloud services from AWS, Azure, or Google Cloud Platform to support data storage and processing.
- 5Debug and resolve data quality issues, ensuring accuracy and consistency across enterprise data lakes.
- 6Drive data modeling and schema design, collaborating with analytics teams to support BI and reporting.
- 7Lead code reviews and mentor junior developers, promoting best practices in Python and SQL.
- 8Automate data pipeline monitoring and alerting, using Snowflake features and cloud-native tools.
Requirements6
- 112+ years of experience in software development with a primary focus on Python.
- 2Proven expertise with Snowflake data platform, including data warehousing and ELT processes.
- 3Strong SQL skills, writing complex queries for data extraction and transformation.
- 4Experience with ETL/ELT tools and data pipeline orchestration (e.g., Airflow, dbt).
- 5Hands-on experience with cloud platforms: AWS, Azure, or Google Cloud Platform.
- 6Bachelor's degree in Computer Science, Engineering, or a related field (preferred).
Salary Insight
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