Description

You will design, manage, and transform data across the entire lifecycle to support enterprise data protection and business requests.

Responsibilities

• Update logical and physical data models to accommodate new use cases.
• Develop new methods for managing, transforming, and validating data.
• Apply quality assurance best practices to all work products and data controls.
• Configure tools to generate specific products based on business or customer requirements.
• Perform statistical data analysis to determine appropriate tools and data patterns.

Required Skills

• 5+ years of experience in data engineering roles.
• Proficiency in Java and Python development.
• Advanced SQL skills, including complex joins and aggregations.
• Experience with Big Data technologies including Spark, Impala, Hive, Redshift, and Kafka.
• Working knowledge of NoSQL database platforms and efficient query writing.
• Understanding of application, data, and infrastructure architecture disciplines.
• Ability to collect, organize, and analyze significant amounts of information with high accuracy.
• Formal training or certification in data engineering disciplines.

Key Skills

Education

Any Gradute