Data Reliability Engineer

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.

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

Education: Bachelor Of Comp. Applications,Bachelor of Engineering,Bachelors of Science,Bachelor Of Technology (Integrated)

Preferred skills: Technology->DevOps->Site Reliability Engineering(SRE),Domain->Core Engineering->Plant Engineering->Reliability Engineering