
Chief Data Architect
4 days ago
Job Opportunity: Data Engineer
We are seeking a highly skilled Data Engineer to join our team. As a key member of our data warehouse team, you will be responsible for developing and delivering high-quality features and projects to a high standard.
About the RoleThis is an exciting opportunity for an experienced Data Engineer to work on building and improving innovative BNL Data Warehouse offerings applying marketing suites. You will have the chance to contribute to the design and development of modern data warehouses, leveraging your expertise in backend and data engineering.
The ideal candidate will have 8+ years of experience in software development and data structures/algorithms, with a strong focus on backend and data engineering.
Key Responsibilities- Design and develop high-quality data pipelines using Python, JVM, and Shell Scripting.
- Develop cloud-native data-intensive applications using Amazon Web Services and Google Cloud Platform.
- Collaborate with cross-functional teams to deliver data-driven insights and business value.
- Maintain and improve existing data warehousing infrastructure.
- 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 Service experience is a must and good to have experience in GCP.
- Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes).
- Hands-on experience in building and maintaining Spark applications.
- Fundamental understanding of Parquet, Delta Lake, and other OTFs file formats.
- Proficiency in IaC tool such as Terraform, CDK or CloudFormation.
- 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.
- Ability to provide and receive constructive feedback, particularly while participating in code reviews and ability to not only code, but also provide good quality readable business documentation.
- Pro-active and service-oriented towards internal customers.
We offer a collaborative and dynamic work environment that values innovation, creativity, and continuous learning. If you're passionate about data engineering and want to make a meaningful impact, we'd love to hear from you.
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