Sr. Software Engineer - AWS + Snowflake
YASH TechnologiesMatch Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessMid-level metro role with common title but Snowflake niche; moderate applicant density.
Data engineering skills (Snowflake, AWS, Python) are highly transferable across industries.
Explicit 4-6 years plus mandatory Snowflake, AWS, and Python experience enforces strict filtering.
Job Description
Structured overview of role & requirementsAbout This Role
Enhance and optimize existing data engineering frameworks and architectures with a focus on scalable ETL/ELT pipelines.
Develop and maintain AWS cloud-native data solutions incorporating Snowflake and Python for data ingestion, transformation, and orchestration.
Ensure data quality, governance, and compliance while troubleshooting production issues and collaborating with stakeholders to deliver high-performance data processes.
Minimum Requirements
4-6 years of relevant experience in AWS, Python, and Snowflake development (including 1+ years with Snowflake stored procedures).
Strong expertise in building scalable ETL/ELT pipelines and cloud-native data engineering practices using AWS services.
Experience in Snowflake development including stored procedures.
Work Experience Required: 4-6 years.
Ideal Candidate Profile
Someone with a strong background in modern data engineering frameworks specializing in AWS and Snowflake ecosystems.
Experienced in both developing and optimizing large-scale, secure, and cost-efficient data workflows.
Capable of collaborating across teams to translate business requirements into technical data solutions while maintaining compliance and performance standards.