Overview

The Operations & Engineering team is looking for an Operations Engineer to support operational workflows, data integrity, and client deliverables across client-facing platforms. Reporting to the Director of Operations & Analytics, this role focuses on monitoring, managing, and optimizing data ingestion pipelines to ensure SLA compliance and smooth client operations. The role requires strong technical skills, problem-solving ability, and collaboration with engineering, product, and client success teams.

Key Responsibilities

• Monitor data ingestion, post-ingestion processes, and application health.
• Troubleshoot issues using runbooks and documentation.
• Investigate root causes and implement corrective actions.
• Log and escalate operational issues as needed.
• Respond to client queries and resolve issues within defined timelines.
• Deliver outputs accurately and within SLAs.
• Collaborate with Engineering, Product, and Client Success teams to resolve incidents and improve processes.
• Maintain records of incidents, client interactions, and operational metrics.
• Support automation and workflow improvements.
• Use SQL, Shell scripting, and Python for operational support.

Required Qualifications

• 4+ years experience in operations, production support, or data engineering.
• Strong experience with SQL, Advanced Excel, and MySQL.
• Knowledge of Linux, networking basics, and AWS.
• Familiarity with Airflow, Kubernetes, and cloud infrastructure.
• Strong analytical, troubleshooting, and communication skills.
• Ability to work in a fast-paced, client-focused environment.

Preferred Qualifications

• Experience in SaaS, energy, or data-driven industries.
• Experience with Datadog or similar monitoring tools.
• Knowledge of PySpark, ETL, data integration, and data analysis.
• Familiarity with Git, Agile methodologies, and Jira.