Match 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 competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and maintain scalable data pipelines using AWS services including S3, Glue, Lambda, Redshift, and EMR.
Build and optimize Snowflake data warehousing solutions, including performance tuning and data modeling.
Integrate vector and graph databases into LLM-based AI applications and collaborate with cross-functional teams to meet data requirements.
Minimum Requirements
3-5 years of experience in data engineering or related roles.
Strong hands-on experience with AWS cloud services and Snowflake architecture.
Advanced proficiency in Python and SQL.
Experience with graph databases (e.g., Neo4j, Neptune) and vector databases (e.g., Milvus, Amazon OpenSearch).
Ideal Candidate Profile
Experienced in building and optimizing large-scale AWS cloud data pipelines with a focus on reliability and performance.
Skilled in integrating advanced database technologies such as graph and vector databases within AI/ML workflows.
Familiar with Agile development environments using Azure DevOps and version control with Git.