
Expert Data Engineer
1 day ago
We are seeking a seasoned professional to lead the implementation of secure platform setup, cloud integration, and high-performance data pipeline development using Snowflake.
This role involves working at the intersection of data engineering, infrastructure, and DevOps on enterprise-grade analytics and AI projects. The ideal candidate will have strong technical skills and experience in leading full lifecycle implementations.
- Lead Snowflake platform setup, environment provisioning, RBAC, and resource optimization
- Architect scalable, secure infrastructure-as-code using Terraform or Pulumi (AWS, Azure, or GCP)
- Build robust CI/CD pipelines and integrate with GitHub Actions, Jenkins, or Azure DevOps
- Develop ETL/ELT pipelines using dbt, Airflow, or custom Python solutions
- Ingest and transform data from APIs, SaaS apps, and event streams
- Ensure data security, lineage tracking, and compliance (GDPR, HIPAA, SOC2)
To succeed in this role, you should have:
- 5+ years in data engineering or platform operations
- 3+ years of deep Snowflake hands-on experience (performance, security, cost)
- Strong technical skills in SQL, Python, Terraform/YAML, and Git workflows
- Proven CI/CD and DevOps knowledge
- Experience with at least one major cloud provider (AWS, Azure, or GCP)
The following requirements are essential for success in this role:
- SnowPro Advanced certification is a plus but not required
- Experience with dbt, Fivetran, Informatica, or Matillion is beneficial
- Familiarity with Kafka, Delta Lake, Iceberg, or Databricks is a plus
This is an exciting opportunity to join our team and contribute to delivering high-quality solutions.
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