
Chief Data Engineer
3 days ago
Expanding our team of Data Engineers, we are seeking a skilled professional to join our Data Warehouse team. As a key member, you will be responsible for independently developing and delivering high-quality features and tasks.
Role: You will focus on building and improving our innovative BNL Data Warehouse offerings applying marketing suites.
Requirements:
- 8+ years of experience in software development, with a focus on backend and data engineering.
- 5 years of hands-on experience in using Python, JVM and Shell Scripting with production experience.
- 3 years of proven experience on building cloud native data intensive applications, Amazon Web Service experience is a must and good to have experience in GCP.
- Experience on Data Warehouse design and development per the business nature using any of the modern data warehouses. Having experience in Databricks and dbt experience is required.
- 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 of building and maintaining Spark applications.
- Fundamental understanding of Parquet, Delta Lake and other OTFs file formats.
- Proficiency on an IaC tool such as Terraform, CDK or CloudFormation is a must.
- Experience with observability systems (such as Datadog or Prometheus/Grafana).
- Strong experience on building CI/CD processes, experience with GitHub Actions, ArgoCD or Jenkins is good to have.
- Experience with unit testing and test automation frameworks.
- Comfortable providing, receiving constructive feedback, particularly while participating in code reviews and ability to not only code, but also provide good quality readable business documentation.
Benefits:
- Hybrid work arrangement.
- Full-time permanent employment.
- Immediate notice period.
What We Offer:
We offer a collaborative and dynamic work environment, opportunities for growth and development, and a competitive compensation package.
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