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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