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5 days ago
We are seeking a highly skilled Business Intelligence Engineer to join our Data Warehouse team. As a Business Intelligence Engineer, you will play a key role in designing and developing high-quality features and finishing tasks to a high standard.
The ideal candidate has 8+ years of experience in software development, with a focus on backend and data engineering. You will be part of an emerging team, focusing on building and improving our innovative BNL Data Warehouse offerings using marketing suites.
Required Skills:- 5 years of hands-on experience in using Python, JVM, and Shell Scripting with production experience.
- 3 years of proven experience in building cloud-native data-intensive applications, Amazon Web Services experience is a must, and good to have experience in Google Cloud Platform.
- Experience in 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 in an Infrastructure as Code tool such as Terraform, CDK, or CloudFormation is a must.
- Experience with observability systems (such as Datadog or Prometheus/Grafana).
- Strong experience in 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 and receiving constructive feedback, particularly while participating in code reviews and able to not only code but also provide good quality readable business documentation.
- Focus on business value vs engineering interest and focus on business value vs engineering interest.
- Pro-active and service-oriented towards internal customers.
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