Data Engineer

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.