Description

Own P0-P2 customer incidents and resolve deep technical issues across SQL, distributed systems, data platforms, and cloud infrastructure.

This role is on-site.

Responsibilities

• Investigate and resolve production incidents involving query failures, performance bottlenecks, and platform stability.
• Utilize advanced SQL to analyze query behavior, execution plans, and resource utilization.
• Diagnose issues across application, query engine, infrastructure, and storage layers in cloud and on-prem environments.
• Develop automation scripts using Python or Bash for diagnostics and operational workflows.
• Collaborate with engineering teams to update runbooks, documentation, and improve platform reliability.

Required Skills

• 5+ years of experience in technical support or engineering roles.
• Expert-level SQL, including complex joins, window functions, and query optimization.
• Hands-on experience troubleshooting distributed data platforms like Snowflake, Databricks, Trino/Presto, or BigQuery/Athena.
• Proficiency in Python or Bash for scripting and automation.
• Understanding of AWS or similar cloud platforms, including compute, storage (S3, EBS), and networking.
• Experience with Kubernetes and containerized environments.
• Hands-on experience with monitoring and observability tools: Grafana, Prometheus, and Loki.
• Familiarity with distributed tracing standards like OpenTelemetry.
• Knowledge of data lake architectures and columnar storage formats (Parquet, Iceberg).

Preferred Skills

• Experience with large-scale data platforms and data lakehouse architectures.
• Ability to isolate root causes in high-ambiguity production environments.

Key Skills

Education

Any Graduate