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ETL Support Engineer

iAgami

2 - 5 years

Bengaluru

Posted: 12/02/2026

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Job Description

Job Title: ETL Support Engineer (Azure Databricks / Snowflake)

Location: Bangalore / Hyderabad

Experience: 2 - 5 Years

Employment Type: Full-Time


JD:

Experience

  • 25 years of experience in ETL / Data Platform Production Support roles.
  • Strong exposure to production environments supporting data pipelines and batch jobs.

Required Skills

  • Hands-on experience with Azure Databricks and/or Snowflake in a production support setup.
  • Strong working knowledge of Unix/Linux environments.
  • Hands-on experience in Shell / Bash / Unix scripting for monitoring, automation, and troubleshooting.
  • Good understanding of ETL workflows, data pipelines, and batch processing.
  • Proficiency in SQL for data validation, reconciliation, and issue resolution.
  • Experience with ticketing tools such as ServiceNow, BMC Remedy, AOTS, or similar.
  • Familiarity with monitoring tools like Kibana, ADX, or equivalent platforms.
  • Basic understanding of Azure Cloud services related to data engineering.
  • Good communication skills (verbal and written) with the ability to coordinate across teams.


Roles and Responsibilities

  • Provide L1/L2 ETL production support for data pipelines running on Azure Databricks and Snowflake.
  • Monitor batch jobs, data loads, and workflows; identify failures and performance issues.
  • Perform advanced troubleshooting of ETL failures, data discrepancies, and pipeline issues.
  • Use SQL and scripting to analyze data issues, rerun jobs, and apply fixes where required.
  • Coordinate with development, data engineering, and platform teams to resolve production issues.
  • Ensure issues are resolved within SLA timelines and document root cause analysis (RCA).
  • Support production deployments, job scheduling, and release activities.
  • Participate in 247 support rotations, including weekends and holidays.
  • Lead or actively participate in outage calls, ensuring timely communication and resolution.
  • Drive continuous improvement through automation, monitoring enhancements, and process optimization.


Key Competencies

  • Azure Databricks
  • Snowflake
  • SQL
  • Unix / Linux
  • Shell / Bash scripting
  • ETL & Data Pipeline Support
  • Production Support & Incident Management


Education & Qualifications

  • Bachelors or Masters degree in Computer Science, Information Technology, Computer Applications, or equivalent.

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