
Senior Data Solutions Architect
2 weeks ago
The goal of this position is to engineer and manage the development of high-quality data-intensive applications.
Our ideal candidate will have hands-on experience in Python, JVM and Shell Scripting with production experience.
In addition, they should be skilled in building cloud native data intensive applications using Amazon Web Service and preferably Google Cloud Platform.
Responsibilities include:
- Designing and developing data warehouses per business requirements.
- Implementing workflow management systems utilizing Airflow.
- Familiarity with containerization and orchestration technologies such as Docker and Kubernetes.
- Experience with Spark application development and maintenance.
- Understanding of file formats including Parquet and Delta Lake.
- Proficiency in Infrastructure as Code tools like Terraform or AWS CDK.
- Experience with observability systems including Datadog and Prometheus/Grafana.
- Strong knowledge of Continuous Integration/Continuous Deployment processes and unit testing frameworks.
- Ability to provide and receive constructive feedback during code reviews.
We are looking for a proactive individual who focuses on delivering business value versus engineering interests.
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