Job Description
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
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
