Job Description Compensation: 10-15 LPA - Exact compensation may vary based on several factors, including skills, experience, and education. Day to Day Responsibilities Act as a production support partner alongside the team's rotational onshore/offshore support engineers Monitor, triage, and resolve data pipeline and job failures, including: ETL/ELT job errors Data quality issues and discrepancies Upstream/downstream dependency failures Perform hands-on debugging across data platforms, logs, and orchestration tools Execute urgent development fixes tied to high‑priority production incidents Support end‑to‑end incident management, including: Root Cause Analysis (RCA) Prevention / no‑repeat action plans Clear documentation of issue, impact, and resolution Pair with on‑call engineers to help offload development work, follow up on time‑sensitive issues, and respond to inbound support items Remain generally available during extended coverage hours (7am-8pm ET) to assist with critical incidents when needed When production is stable, contribute to KTLO and standard development backlog work alongside the broader engineering team We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements Strong data engineering foundation, including: Advanced SQL ETL / ELT pipeline development Experience with cloud data warehouses (BigQuery preferred) Workflow orchestration tools (e.g., Airflow or similar) Prior experience in production or operational support roles Proven ability to debug complex data issues using logs, metrics, and system traces Experience conducting root cause analysis and documenting incidents clearly and thoroughly Comfort working in a rotational support model with onshore/offshore teams Ability to balance urgent production fixes with ongoing development work Strong communication skills - able to explain technical issues, impact, and resolution clearly Direct experience in 24/7 production support environments Familiarity with incident management frameworks and post‑incident best practices Experience supporting business‑critical or high‑visibility data pipelines Background in KTLO/backlog stabilization efforts Experience partnering closely with platform, infra, or upstream/downstream engineering teams Comfort joining incident calls during critical situations, even outside standard working hours