Description

You will build and manage data engineering pipelines within the Google Cloud Platform ecosystem.

Responsibilities

• Develop ETL processes using Python, R, Scala, Java, or Spark.
• Manage data workflows using Dataflow and Airflow.
• Implement messaging and streaming solutions with Pub/Sub or Kafka.
• Build and maintain data processing jobs using Dataproc and Hadoop.
• Query and manage large datasets within BigQuery.

Required Skills

• 4+ years of experience in Information Technology.
• Hands-on experience with GCP data engineering tools including Dataflow, Airflow, Pub/Sub, and Dataproc.
• Proficiency in BigQuery and Hadoop.
• Strong SQL background.
• Experience with Hive, Spark, and Kafka.
• Programming experience in Python, R, Scala, or Java.
• Experience building dashboards using PowerBI.
• Bachelor's degree or foreign equivalent from an accredited institution, or equivalent progressive experience.

Preferred Skills

• 4+ years of experience in the healthcare or Pharmacy Benefits Management domain.
• 2+ years of experience with traditional RDBMS such as Teradata, Oracle, or DB2.
• Data analysis, data mapping, and CI/CD exposure.

Key Skills

Education

Bachelor's degree or foreign equivalent required from an accredited institution