Required Skills and Experience:
Proven experience in designing, building, and maintaining complex ETL/ELT data pipelines from diverse data sources.
Advanced proficiency in Python for data manipulation, scripting, automation, and API integrations.
Advanced SQL skills, including expertise in joins, window functions, Common Table Expressions (CTEs), User Defined Functions, and other SQL concepts.
Hands-on experience with Snowflake, including data loading, SQL optimization, virtual warehouses, and understanding of its architecture.
Strong understanding of Snowflake APIs, RBAC, Dynamic Tables, Materialized Views, Row Access Policies, Column Data Masking, as well as security and governance features.
Strong knowledge of machine learning concepts; experience in designing and developing AI solutions.
Experience with DevOps technology and cloud services.
Experience with LLMs, Agentic AI implementation.
Excellent communication and collaboration skills.
Exceptional analytical and problem-solving skills with the ability to diagnose issues, propose solutions, and implement them effectively.
Preferred Qualifications:
Experience in advanced Exploratory Data Analysis and Data Modeling techniques to drive actionable insights.
Good understanding of Cloud Computing concepts and practical usage of either AWS, Azure, or GCP.
Hands-on experience with REST API implementation and integration.
Snowflake certification is an asset.
What you'll do:
Collect and prepare data from diverse sources for analysis, ensuring high-quality and relevant datasets for effective decision-making.
Design, create, and support AI-driven products, focusing on delivering scalable and impactful AI solutions that meet the business objectives.
Utilize version control for maintaining codebase integrity and collaboration, fostering a collaborative and error-free development environment.
Create and manage the AI development process
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