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Data Support Engineer (L1&L2)

India, Chennai · Job Posted May 29, 2026
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Job Description

Support and troubleshoot enterprise data pipelines and platforms.

Job Responsibility

  • Monitor and support Snowflake data warehouse, ADLS, and ADF pipelines on a 24x7 or business-hours support model
  • Should be able to debug and fix code in Snowflake & ADF
  • Perform job monitoring, failure analysis, reruns, and recovery for ETL/ELT pipelines handling structured and semi‑structured data
  • Handle data load failures, performance issues, schema changes, and data discrepancies
  • Execute standard operating procedures (SOPs) for recurring operational tasks
  • Act as first and second line of support for data-related incidents and service requests
  • Perform initial triage, root cause analysis, and escalation to L3/platform teams when required
  • Ensure SLA, SLO, and KPI compliance (incident response, resolution times, data availability)
  • Maintain accurate ticket updates, incident reports, and runbooks
  • Coordinate with application, core banking, infrastructure, and security teams
  • Maintain support documentation, knowledge articles, and handover notes
  • Participate in post‑incident reviews and service improvement initiatives

Requirements

  • Strong SQL skills (querying, troubleshooting, performance analysis)
  • Hands-on experience supporting Snowflake environment (monitoring, queries, loads)
  • Experience with Azure Data Factory (ADF) pipeline monitoring and troubleshooting
  • Understanding of ADLS / cloud data storage
  • Knowledge of ETL/ELT processes for structured and semi‑structured data (JSON, CSV, Parquet)
  • Experience in L1/L2 production support for data platforms
  • Familiarity with ITIL processes (Incident, Problem, Change Management)
  • Strong experience with job scheduling, monitoring tools, and alert handling
  • Ability to work with SLA-driven managed services environments
  • Strong analytical and troubleshooting mindset
  • Clear written and verbal communication for incident handling
  • Ability to work in shifts/on-call rotations if required
  • Detail-oriented with a strong sense of ownership and accountability
  • 6+ years experience

Nice to have

  • Exposure to data governance and security tools (Purview, Voltage, Cohesity, Spirion, BlueVoyant)
  • Experience in banking, credit union, or financial services environments
  • Basic scripting knowledge (PowerShell, Python, or Bash) for support automation
  • Understanding of cloud security and data privacy concepts

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