Data Engineer - Mid Level

What you'll do

• Manage the full data engineering lifecycle including analysis, solution design, pipeline engineering, testing, and deployment.
• Design and implement complex technical solutions for data engineering and analytic systems.
• Identify and resolve significant technical problems related to architecture, security, and performance.
• Acquire data from multiple sources and maintain databases, data warehouses, and data lakes.
• Break down business features into technical stories and approaches for development.
• Create proof of concepts and prototypes to drive the vision for complex initiatives.
• Conduct regular code reviews to improve quality and ensure compliance with company standards.
• Monitor and control risks associated with business activities in accordance with compliance policies.

What we're looking for

• Must have a Bachelor's degree or 4 years of relevant education and/or experience.
• Must have 4 years of experience in data engineering, data analysis, or software development implementing data solutions.
• Must have at least 1 year of experience in data engineering or data management.
• Must have extensive knowledge and working experience in SQL and Relational Databases.
• Must understand Agile methodology practices.
• Must be proficient in working with Cloud technologies and tools.
• Must possess strong analytical and problem-solving skills.
• Experience with Snowflake, DBT, SQL, Kafka, APIs, Python, Data Modeling, Fivetran, and Git/version control (preferred).