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Chief Data Architect
2 weeks ago
We are seeking an experienced Data Engineer to lead a team of Senior Engineers in the Data Warehouse team.
The ideal candidate will have 10+ years of experience in software development, with a focus on backend and data engineering.
Key Responsibilities- Propose and review Architecture
- Solve complex situations and data model
The successful candidate will have:
- Overall 10 + years of experience in data engineering with 4+ years leading team
- 8+ years of hands-on experience in using Python, JVM and Shell Scripting with production experience.
- 5+ 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.
- Lead a team of 4-5 Senior Engineers
- Client communication and requirement gathering
- Interact directly with client for requirement gathering
- Build a holistic roadmap
- Identify risks and have mitigation strategy
- 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.
- Focus on business value vs engineering interest and focus on business value vs engineering interest.
- Pro-active / service-oriented towards our internal customers
