Role: Data Engineer

Location: Los Angeles, California(No Visa Sponsorship)

Description:

Build data pipelines using DBT, Airflow, and Snowflake
Lead architectural design sessions for the modern data stack, focusing on solutions that seamlessly integrate with our technology stack, which encompasses Snowflake, Airflow, DBT, and AWS data services
Work with our data science and product management teams to design, rapidly prototype, and productize new data product ideas and capabilities
Collaborate with various product and technical team members and leaders
Participate in code reviews to ensure code quality and distribute knowledge
Support your teammates by continuing to learn and grow

Responsibilities:

Minimum 10+ years' experience in software engineering including a bachelor's in computer science or related discipline
5+ years of experience in a data engineering role with deep exposure to modern data stacks including Snowflake, Airflow, DBT, and AWS data services.
Expertise in applying Python and SQL to execute complex data operations, customize ETL/ELT processes, and perform advanced data transformations across the platform
Expertise in establishing data quality assurance frameworks
Experience working directly with data analytics to bridge business requirements with data engineering
Experience with AWS infrastructure
Nice to have experience: Kafka, Sigma

Regards

Praveen Kumar

Talent Acquisition Group Strategic Recruitment Manager

by Jobble

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