Data Engineer / DataOps Engineer
New
Fully remoteContractMiddle
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Languages
- English
- Experience
- 5+ years
- Required Skills
- ETLGitKubernetesMicrosoft AzureSnowflakeAirflowCI/CDDevOpsdbt
Requirements
- 5+ years of professional practice in data engineering
- Strong, practical experience with Snowflake (views, tables, performance tuning, orchestrated ELT processes)
- Solid expertise using dbt for SQL-based transformations
- Hands-on experience with Airflow for workflow scheduling and automation
- Experience deploying and maintaining containerized workloads on Kubernetes
- Familiarity with cloud environments, with strong understanding of Microsoft Azure services
- Practical experience building ETL/ELT pipelines and maintaining production data workflows
- Good understanding of Git-based development, CI/CD pipelines, and general DevOps principles
- Analytical mindset and ability to troubleshoot issues in complex systems
Responsibilities
- Develop and maintain end-to-end data pipelines using Snowflake as the core data platform
- Build ELT workflows using dbt and manage orchestration with Airflow
- Implement and support DataOps processes, including CI/CD automation, monitoring, and workload deployment on Kubernetes
- Optimize Snowflake performance, including warehouses, storage usage, and query efficiency
- Ensure data reliability through data validation, testing, and monitoring practices
- Integrate various data sources and manage ingestion processes into Snowflake
- Collaborate with cross-functional teams to deliver reliable, production-ready data solutions
- Follow engineering best practices, maintain coding standards, and support continuous improvement
- Support team knowledge sharing and mentor junior developers when needed
View Full Description & ApplyYou'll be redirected to the employer's site
