
Chief Data Infrastructure Architect
2 weeks ago
Job Overview
We are seeking a skilled Data Engineer to design and build scalable infrastructure for data engineering workloads.
- Design and develop scalable infrastructure for data engineering workloads.
- Develop and manage continuous integration and deployment pipelines for data pipelines and software.
- Collaborate with data engineers and scientists to streamline data ingestion, processing, and storage.
- Automate deployment, monitoring, and alerting for data services.
- Evaluate system security, availability, and performance across datapipelines and services.
- Manage containerized environments using Docker and Kubernetes. Knowledge of Red Hat OpenShift is beneficial.
- Optimize data workflows and troubleshoot infrastructure or pipeline issues.
- Monitor and maintain cloud resources and optimize costs.
Requirements
- Bachelor's degree in Computer Science, Engineering, or related field.
- 1-2 years of experience in DevOps, Data Engineering, or similar roles.
- Familiarity with DevOps, CI/CD, containerization, and data orchestration concepts.
- Experience with at least one major cloud services provider (Amazon/Azure/GCP).
- Knowledge of modern data orchestration tools like Apache Airflow/Dagster/Prefect etc.
- Knowledge of modern data transformation frameworks like DBT (DataBuild Tool) etc.
- Solid understanding of Python and SQL.
- Solid understanding of data warehouse and data lake architectures (e.g. Redshift, Snowflake, Databricks etc).
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