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Job Description
Structured overview of role & requirementsAbout This Role
Design and deliver scalable data engineering solutions for enterprise-level systems.
Manage production systems and handle multiple responsibilities related to data engineering delivery.
Work with modern data engineering methodologies and cloud environments to support digital transformation initiatives.
Minimum Requirements
10+ years of professional experience in data engineering.
Proficient in Python, SQL, Snowflake, Apache Airflow, and PySpark.
Experience with any cloud platform such as Azure, GCP, or AWS is highly desirable.
Work Experience Required: 10+ years
Ideal Candidate Profile
Experienced in production system management and multi-responsibility roles indicating seniority and operational maturity.
Skilled in modern data engineering tools and cloud technology, indicating adaptability to current tech stacks.
Familiarity with AI-driven data solutions like Generative AI or Snowflake Cortex is a strong advantage, reflecting a forward-looking technology orientation.
