Data Engineer
2 months ago
Key Responsibilities :
- Design, develop, and maintain data pipelines using Python and Snowflake.
- Implement data ingestion, transformation, and processing solutions leveraging Azure Databricks or Azure Data Factory.
- Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions.
- Optimize and tune Snowflake and Azure data solutions for performance and cost efficiency.
- Develop and maintain ETL processes, ensuring data accuracy and reliability.
- Monitor and troubleshoot production data pipelines, ensuring timely and accurate data delivery.
- Work with stakeholders to design and implement data models that support business requirements.
Key Skills and Qualifications :
- 7+ years of hands-on experience in Python and Snowflake development.
- Strong expertise in Azure Databricks or Azure Data Factory.
- Proficiency in SQL and working knowledge of data warehousing concepts.
- Experience with data modeling, ETL processes, and data pipeline automation.
- Solid understanding of cloud architecture, particularly in Azure.
- Experience with version control systems like Git.
- Strong problem-solving skills and the ability to work in a fast-paced environment.
- Excellent communication skills and the ability to collaborate with both technical and non-technical stakeholders.
Preferred Qualifications :
- Experience with other Azure services such as Azure Data Lake, Azure Synapse, or Azure DevOps.
- Familiarity with Agile methodologies and CI/CD practices.
- Certification in Snowflake, Azure, or related technologies is a plus.
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