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Data Engineering Lead Analyst_97841

MyCareernet

5 - 8 years

Hyderabad

Posted: 27/04/2026

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Job Description

Key Skills: Data Engineering, Erwin, Python ETL, Data Catalog, Linux, SSO, SCIM, ServiceNow (SNOW), AWS

Roles & Responsibilities:

  • Administer and maintain self-hosted data catalog environments on Linux-based systems.
  • Perform platform upgrades, migrations, backups, and restore operations ensuring system continuity and data integrity.
  • Configure, monitor, and troubleshoot metadata extraction and query log ingestion pipelines.
  • Implement and manage SSO and SCIM-based authentication and user provisioning for enterprise access control.
  • Design, develop, and maintain Python-based ETL workflows for data ingestion, transformation, and integration.
  • Collaborate with data platform and engineering teams to manage connectors, credentials, and integration stability.
  • Handle production support activities including incident tracking, resolution, and escalation using ServiceNow (SNOW).
  • Conduct root-cause analysis (RCA) for incidents and implement preventive measures.
  • Coordinate with internal stakeholders and external vendors for upgrades, migrations, and platform enhancements.
  • Maintain operational documentation and ensure adherence to data governance and platform standards.
  • Drive continuous improvement in system reliability, performance, and support processes.

Experience Required:

  • 5 - 8 years of experience in data engineering, data platforms, or enterprise data catalog environments.
  • Strong hands-on experience in Python-based ETL development and data pipeline maintenance.
  • Experience working with data catalog tools such as Erwin or similar platforms.
  • Good understanding of Linux-based system administration and troubleshooting.
  • Experience with metadata management, data ingestion, and integration workflows.
  • Knowledge of authentication systems like SSO and SCIM in enterprise environments.
  • Familiarity with incident management tools such as ServiceNow (SNOW).
  • Exposure to cloud platforms like AWS is preferred.
  • Strong debugging, RCA, and production support experience in enterprise systems.

Education: Any Post Graduation, Any Graduation

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