Description

Key Skills: Technical Support, SQL

Roles and Responsibilities:

• Incident Management & Troubleshooting: Own and resolve P0-P2 customer incidents. Investigate deep technical issues across SQL, distributed systems, data platforms, and cloud infrastructure, including query failures, performance issues, and platform and application stability.
• Technical Deep Dive: Utilize Advanced SQL to investigate data issues and analyze query behavior (execution, performance, resource utilization). Diagnose issues across multiple layers (application, query engine, infrastructure, storage) in distributed query engines and containerized environments of Cloud providers and on prem (e.g., S3, EC2, Kubernetes).
• Automation & Improvement: Develop automation tools and scripts with AI  platforms - scripts using languages like Python or Bash for diagnostics and operational workflows. Collaborate closely with engineering teams to resolve complex issues, contribute to runbooks, documentation, and recommend product or operational improvements to platform reliability and customer experience.

Key Required Skills

• Advanced SQL: Expertise in complex joins, window functions, query optimization, and debugging analytical queries for investigating production data issues.
• Cloud & Infrastructure: Understanding of AWS or other cloud platforms, including compute services, Kubernetes, storage systems like S3/EC2/EBS etc, and networking fundamentals.
• Distributed Systems & Data Platforms: Experience troubleshooting large-scale data platforms (e.g., Snowflake, Databricks, Trino/Presto, BigQuery/Athena) and familiarity with data lake architectures and columnar storage formats (e.g., Parquet, Iceberg).
• Problem Solving: Strong analytical skills to investigate system behaviors, analyze logs/metrics, and isolate root causes in high-ambiguity production environments.
• Proven expertise in utilizing and interpreting advanced tracing, distributed logging, and application profiling tools to pinpoint bottlenecks within the query execution lifecycle. Experience with OpenTelemetry or similar modern distributed tracing standards.
• Monitoring tool - Hands on - Grafana, prometheus,loki.

Skills Required:

• Strong expertise in advanced SQL including complex joins, window functions, query optimization, and analytical query debugging.
• Experience troubleshooting distributed data platforms such as Snowflake, Databricks, Trino/Presto, BigQuery, or Athena.
• Good understanding of cloud infrastructure concepts across AWS or other cloud platforms, including compute, storage, and networking services.
• Hands-on experience with Kubernetes, containerized environments, and distributed systems troubleshooting.
• Familiarity with data lake architectures and columnar storage formats such as Parquet and Iceberg.
• Strong analytical and problem-solving skills with the ability to isolate root causes in high-ambiguity production environments.
• Experience with distributed tracing, logging, profiling, and observability tools including OpenTelemetry or similar technologies.
• Hands-on experience with monitoring tools such as Grafana, Prometheus, and Loki.
• Proficiency in scripting using Python or Bash for automation and diagnostics.
• Excellent communication, customer handling, and stakeholder management skills.

Desired Traits:

• Strong sense of ownership, accountability, and customer-first mindset.
• Ability to think clearly and perform effectively during high-severity incidents.
• Passion for troubleshooting deeply technical problems in complex distributed environments.

Education: Bachelor's Degree in related field

Key Skills

Education

Any Graduate