Data Engineer

Primary Responsibilities include establishing technical designs, optimizing ETL/data pipelines, fine-tuning queries, managing data ingestion, transformation, and processing, developing and maintaining API, ETL Pipeline, and CI/CD integration processes.

Requirements

• Bachelor's degree in computer science, engineering, or similar quantitative field
• 5+ years of relevant experience developing backend, integration, data pipelining, and infrastructure
• Strong expertise in Python, PySpark, and Snowpark
• Proven experience with Snowflake and AWS cloud platforms
• Experience with Informatica/IICS for data integration
• Expertise in database optimization and performance improvement
• Experience with data warehousing and writing efficient SQL queries
• Understanding of data structures and algorithms