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Job Description

• 2+ years of experience in Big Data and Data Engineering, building enterprise-level applications in a 
public cloud, preferably Google Cloud    • Experience building cloud-native data pipelines using Python, Apache Airflow, Apache Spark, and  Apache Beam.  • Working knowledge of SQL and data warehousing concepts, including PostgreSQL and BigQuery.  Optionally, knowledge of Mongo and AlloyDB is a plus.  • Comfortable using Azure DevOps or similar CI/CD tools, Git.  • Experience with TDD, agile software development processes, and collaborating in multi-functional  agile teams.  • Communicate effectively with technical teams and non-technical stakeholders.  • Bachelor's degree in Computer Science or related engineering discipline, or equivalent combination  of education and experience.  • Optionally, experience building Docker images and deploying them to a Production environment.  Integrate Docker container orchestration framework using Kubernetes by creating pods, config  Maps, and deployments using terraform.  • Optionally, experience with C#, .NET core, and microservices.

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