Data Reliability Engineer

Data Platform Reliability
Ensure high availability, performance, and reliability of data pipelines and platforms
Monitor and maintain SLAs, SLOs, and SLIs for data systems
Reduce data downtime, failures, and data quality incidents
Implement proactive monitoring and alerting for data pipelines
Observability & Monitoring
Build and maintain monitoring, logging, and alerting for data workflows
Track pipeline success/failure rates, latency, freshness, and volume
Implement observability for batch and streaming data systems

5-8 years of experience in Data Engineering, Platform Engineering, or SRE roles
Strong understanding of data pipeline reliability concepts
Hands-on experience with modern data stacks such as:
Cloud data warehouses (Snowflake, BigQuery, Redshift, Synapse)
Data lakes (ADLS, S3, GCS)
Experience with ETL / orchestration tools:
Airflow, ADF, dbt, Informatica, or similar
Strong SQL and debugging skills
Experience with monitoring, alerting, and observability tools
Knowledge of Linux/Unix systems

We are looking for an experienced Data Reliability Engineer (DRE) to ensure the reliability, availability, performance, and quality of enterprise data platforms and pipelines. The role focuses on applying Site Reliability Engineering (SRE) principles to data systems, enabling stable and scalable analytics, reporting, and data science workloads.