
Innovative Data Warehouse Solutions Architect
3 days ago
Data Engineer
The ideal candidate will be responsible for independently developing and delivering high-quality features and finishing tasks to a high standard.
They will be part of an emerging team, focusing on building and improving innovative data warehouse offerings using marketing suites.
Key requirements include 8+ years of experience in software development, with a focus on backend and data engineering.
Required Skills:
- 5 years hands-on experience in Python, JVM, and Shell Scripting with production experience.
- 3 years proven experience building cloud native data intensive applications, Amazon Web Service experience is a must, good to have GCP experience.
- Experience designing and developing data warehouses per business needs using modern data warehouses.
- Highly proficient in architecting and implementing workflow management systems, Airflow is a must.
- Familiarity with containerization and orchestration technologies e.g. Docker, Kubernetes.
- Hands-on experience building and maintaining Spark applications.
- Fundamental understanding of Parquet, Delta Lake, and other OTFs file formats.
- Proficiency in IaC tools such as Terraform, CDK or CloudFormation is a must.
- Experience with observability systems e.g. Datadog or Prometheus/Grafana.
- Strong experience building CI/CD processes, experience with GitHub Actions, ArgoCD or Jenkins is good to have.
- Experience with unit testing and test automation frameworks.
- Ability to provide and receive constructive feedback, particularly while participating in code reviews and ability to not only code but also provide quality readable business documentation.
- Focus on business value vs engineering interest.
- Pro-active service-oriented towards internal customers.
If you are motivated by the opportunity to build and improve innovative data warehouse offerings, we encourage you to apply for this position.
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