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Etl Specialist — Jira Data Migration​/Snowflake Archival

Job in Plano, Collin County, Texas, 75086, USA
Listing for: Glint Tech Solutions
Full Time position
Listed on 2026-06-26
Job specializations:
  • IT/Tech
    Data Engineering, Database Administrator, Data Warehousing, Data Analyst
Salary/Wage Range or Industry Benchmark: 80000 - 110000 USD Yearly USD 80000.00 110000.00 YEAR
Job Description & How to Apply Below
Position: ETL SPECIALIST — JIRA DATA MIGRATION / SNOWFLAKE ARCHIVAL

ETL SPECIALIST — JIRA DATA MIGRATION / SNOWFLAKE ARCHIVAL PROJECT DESCRIPTION

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.

MANDATORY SKILLS
  • 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‑HAVE SKILLS
  • Experience with Jira Cloud, Jira Data Center, or Jira Service Management migrations
  • Experience using Atlassian REST APIs
  • Experience with Python libraries — pandas, requests, SQL Alchemy, 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
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