Cloud Data Engineer - Snowflake, DBT, Airflow and AWS

Job Summary […] is seeking a Senior Cloud Data Engineer with strong expertise in Snowflake, DBT, Apache Airflow, and AWS to design, develop, and support scalable cloud data platforms.

combines hands-on data engineering, cloud platform implementation, infrastructure automation, solution design, architecture discussions, and stakeholder engagement. The successful candidate will deliver reliable, secure, high-performing, and maintainable data solutions that support business requirements and enterprise data initiatives. This role contributes to business objectives by improving data platform scalability, automation, data quality, operational efficiency, governance, and the availability of trusted data for analytics and decision-making.

Software

Required Software Skills Snowflake: Minimum 4–6 years of hands-on experience designing, developing, optimizing, and supporting cloud data warehouse solutions. DBT: Practical experience developing models, tests, documentation, macros, sources, and reusable ELT workflows. Apache Airflow: Experience designing, scheduling, monitoring, and troubleshooting data workflows and dependencies.

AWS Cloud Services: Minimum 4–6 years of hands-on experience implementing and supporting cloud data platforms and services. Python: Experience with data engineering, automation, orchestration, testing, and cloud platform support. SQL: Strong experience writing, optimizing, and troubleshooting queries for data transformation, validatio