Description:

We are seeking an experienced Data Engineer to join our team. The ideal candidate will have a minimum of 6 years of experience in a Data Engineer role, with a strong proficiency in Python, Snowflake, SQL, and SQL databases. Experience with AWS is preferred; however, expertise in other cloud platforms will also be considered. The candidate should have a solid understanding of ETL processes, data modeling, data inflow, and data outflow. Excellent written and verbal communication skills are essential for this role.

Responsibilities:

• Design, build, and maintain data pipelines and ETL processes using Python and Snowflake.
• Develop and optimize SQL queries for data extraction, transformation, and loading.
• Collaborate with cross-functional teams to gather requirements and implement data solutions.
• Implement and maintain data models to support business requirements.
• Monitor and troubleshoot data pipelines to ensure data quality and reliability.
• Design and implement scalable and efficient solutions for data inflow and outflow.
• Stay updated on industry best practices and emerging technologies in data engineering.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Minimum 6 years of experience in a Data Engineer role.
• Strong proficiency in Python, Snowflake, SQL, and SQL databases.
• Experience with AWS (or other cloud platforms) is preferred.
• Solid understanding of ETL processes and data modeling concepts.
• Excellent written and verbal communication skills.
• Ability to work independently and collaborate effectively in a remote team environment.
• Strong problem-solving skills and attention to detail.
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