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
Develop, maintain, and optimize scalable AI/ML data pipelines and feature stores including data ingestion, transformation, and quality checks.
Design and implement advanced data models, ensuring data governance and best practices across diverse data types and sources using AWS S3, Snowflake, and related technologies.
Collaborate cross-functionally to embed intelligent technology in digital experiences, enabling predictive customer support and self-service automation.
Minimum Requirements
5+ years of data analysis and engineering experience.
Bachelor’s degree in computer science, statistics, informatics, information systems, or another quantitative field.
Proficiency with Python, PySpark, SQL, ETL/ELT, web crawling techniques, and APIs such as Salesforce API and Bulk API.
Experience with data warehouses (e.g., Snowflake), AWS services (S3, Glue, EMR), and building pipelines for semi-structured and unstructured data.
Ideal Candidate Profile
Experienced in building end-to-end data engineering pipelines for diverse data types including complex semi-structured and unstructured data.
Skilled in advanced web crawling, data transformation, and data governance suited for AI/ML-driven automation environments.
Comfortable with handling high-scale data solutions and collaborating across multiple teams for digital and automation initiatives.