Data Operations Senior Engineer
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Key skills for this role
About the Role
Miral is looking for a Senior Data Operations Engineer to join its Data Engineering team. The role involves building and maintaining ETL/ELT pipelines, monitoring data systems, leading incident management, and automating workflows.
Key Skills for This Role
Responsibilities
- Build and maintain robust ETL/ELT pipelines for efficient data flow
- Monitor and troubleshoot data systems for performance and reliability
- Lead incident and problem management, ensuring SLA compliance
- Automate data processing and reporting workflows
- Collaborate with Data Engineers, Scientists, BI, and DevOps teams
- Document processes and communicate with business and IT stakeholders
Requirements
- 4+ years in Data Engineering or Data Operations
- Strong SQL skills and experience with relational databases
- Hands on with cloud platforms (Google Cloud, Azure, Microsoft Fabric)
- Proficient in ETL tools and orchestration frameworks (Airflow, Prefect, etc.)
- Familiar with big data tools (Hadoop, Spark) and programming (Python, Java, Scala)
- DevOps knowledge (CI/CD, Docker, Kubernetes) is a plus
- Bonus: Experience with MLOps, Kafka, and data governance
- Bachelor's in Computer Science, Engineering, or related field (Master's is a plus)
Full Job Posting
Join Our Team
- Join our growing Data Engineering team as a Senior Data Operations Engineer and help us shape the future of data infrastructure and analytics.
What You'll Do
- Build and maintain robust ETL/ELT pipelines for efficient data flow.
- Monitor and troubleshoot data systems for performance and reliability.
- Lead incident and problem management, ensuring SLA compliance.
- Automate data processing and reporting workflows.
- Collaborate with Data Engineers, Scientists, BI, and DevOps teams.
- Document processes and communicate with business and IT stakeholders.
What You Bring
- 4+ years in Data Engineering or Data Operations.
- Strong SQL skills and experience with relational databases.
- Hands on with cloud platforms (Google Cloud, Azure, Microsoft Fabric).
- Proficient in ETL tools and orchestration frameworks (Airflow, Prefect, etc.).
- Familiar with big data tools (Hadoop, Spark) and programming (Python, Java, Scala).
- DevOps knowledge (CI/CD, Docker, Kubernetes) is a plus.
- Bonus: Experience with MLOps, Kafka, and data governance.
Education
- Bachelor's in Computer Science, Engineering, or related field (Master's is a plus).
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