Description

Required Qualifications:

• 5+ years of experience in data engineering including hands-on experience working with Hadoop and Google Cloud data solutions: creating/supporting Spark based processing, Kafka streaming, in a highly collaborative team
• 2+ years of hands-on experience developing data flows using Kafka, Flink, and Spark streaming
• 3+ years of experience with Data Lakehouse architecture and design, including hands-on experience with Python, PySpark, Apache Kafka, Airflow, and SQL, GPC Cloud Storage, BigQuery, Data Proc, Cloud Composer
• 2+ years working with NoSQL databases such as columnar databases, graph databases, document databases, KV stores, and associated data formats
• Public cloud certifications such as GCP Professional Data Engineer, Azure Data Engineer, or AWS Specialty Data Analytics

Key Skills

Education

Bachelor's degree