About The Position

Seeking an experienced ETL Specialist to support a Jira data migration initiative involving multiple source repositories being consolidated into a single staging Jira repository and loaded into a newly configured Jira environment. The role focuses on data extraction, transformation, normalization, deduplication, and loading, along with archival of source data into Snowflake for long-term reporting and audit needs.

Requirements

  • Strong ETL development experience with Python, SQL, Snowflake, Informatica, Talend, dbt, Airflow, Azure Data Factory, or similar platforms
  • Strong SQL skills for profiling, transformation, reconciliation, and validation
  • Experience with Snowflake for data storage, archival, reporting, and analytical queries
  • Experience with Jira data structures, Jira APIs, or similar enterprise ticketing/work management platforms
  • Experience with data normalization, deduplication, merge rules, survivorship logic, and master-data-style matching
  • Strong understanding of batch data processing, error handling, logging, and restartability
  • Ability to work with semi-structured data formats — JSON, XML, and CSV
  • Experience handling large data volumes and complex source-to-target mappings

Nice To Haves

  • Experience with Jira Cloud, Jira Data Center, or Jira Service Management migrations
  • Experience using Atlassian REST APIs
  • Experience with Python libraries — pandas, requests, SQLAlchemy, PySpark, or Snowpark
  • Experience with data governance, lineage, auditability, and archival strategies
  • Experience with Azure, AWS, or cloud-based data platforms
  • Familiarity with Agile delivery, sprint planning, and migration cutover activities

Responsibilities

  • Data extraction, transformation, normalization, deduplication, and loading
  • Archival of source data into Snowflake for long-term reporting and audit needs
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