DATA Engineer ( Snowflake, DBT, SQL, Python)
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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, test, and support scalable data engineering and software solutions using Snowflake, DBT, Python, SQL, and Snowpipe.
Build and maintain data pipelines to enable reliable and efficient data processing.
Collaborate with product owners, architects, and cross-functional teams through the complete software development lifecycle and contribute to continuous improvement initiatives.
Minimum Requirements
1 to 3 years of experience in software development, data engineering, or related technical roles.
Hands-on experience with SQL and Python programming.
Familiarity with Snowflake, DBT, Snowpipe, cloud platforms, and UNIX/Linux environments.
Understanding of software engineering best practices including coding standards, testing methodologies, version control, and debugging.
Ideal Candidate Profile
Experienced in developing data pipelines and scalable data solutions using modern cloud data technologies, preferably Snowflake and DBT.
Comfortable working in Agile, Scrum, or product operating models with exposure to CI/CD and DevOps practices.
Capable of collaborating with diverse teams and taking ownership across the software development lifecycle including design decisions and operational support.