
Data Pipeline Architect
1 week ago
We are seeking a seasoned data engineering professional to lead the development of secure, scalable, and high-performance data pipelines using Snowflake.
- Design and implement end-to-end data solutions from data ingestion to analytics and AI projects.
- Leverage expertise in cloud infrastructure, Terraform, and Pulumi to architect and provision secure environments.
- Collaborate with cross-functional teams to develop and maintain robust CI/CD pipelines and integrate with GitHub Actions, Jenkins, or Azure DevOps.
- Develop and optimize ETL/ELT pipelines using dbt, Airflow, or custom Python solutions.
- Ingest and transform data from APIs, SaaS apps, and event streams while ensuring data security, lineage tracking, and compliance.
Requirements:
- 5+ years of experience in data engineering or platform operations.
- 3+ years of hands-on experience with Snowflake (performance, security, cost).
- Strong skills in SQL, Python, Terraform, YAML, and Git workflows.
- Proven knowledge of CI/CD and DevOps methodologies.
- Experience with at least one major cloud provider (AWS, Azure, or GCP).
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