It's fun to work in a company where people truly BELIEVE in what they are doing!

We're committed to bringing passion and customer focus to the business.

Responsibilities

• Design and develop data-ingestion frameworks, real-time processing solutions, and data processing and transformation frameworks leveraging open source tools and data processing frameworks. 
• Hands-on on technologies such as Kafka, Apache Spark (SQL, Scala, Java), Python, Hadoop Platform, Hive, Presto, Druid, airflow 
• Deep understanding of BigQuery architecture, best practices, and performance optimization. 
• Proficiency in LookML for building data models and metrics. 
• Experience with DataProc for running Hadoop/ Spark jobs on GCP. 
• Knowledge of configuring and optimizing DataProc clusters. 
• Offer system support as part of a support rotation with other team members.   
• Operationalize open source data-analytic tools for enterprise use.   
• Ensure data governance policies are followed by implementing or validating data lineage, quality checks, and data classification.   
• Understand and follow the company development lifecycle to develop, deploy and deliver the solutions.    

Minimum Qualifications: 
• Bachelor's degree in Computer Science, CIS, or related field 
• Experience on project(s) involving the implementation of software development life cycles (SDLC) GCP DATA ENGINEER

Required Skills & Qualifications:

• Education: Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
• 7+ years of experience in data engineering, cloud data solutions, and pipeline development.
• GCP Expertise: Hands-on experience with BigQuery, Dataflow, Pub/Sub, Cloud Storage, Cloud Composer (Airflow), Vertex AI, and IAM Policies.
• Programming: Proficiency in Python, SQL, and Apache Beam (Java or Scala is a plus).

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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