
ETL SPECIALIST — JIRA DATA MIGRATION / SNOWFLAKE ARCHIVAL
Glint Tech Solutions · Location not stated
- Staffing & Recruiting
- 11–50 employees
Weak hiring record · median 73 days open
All reasons
- Open 57 days
- 60% of this employer's openings are over 60 days old
- No location stated
ETL SPECIALIST — JIRA DATA MIGRATION / SNOWFLAKE ARCHIVAL - Glint Tech Solutions LLC | Career Page
ETL SPECIALIST — JIRA DATA MIGRATION / SNOWFLAKE ARCHIVAL
Plano, Texas, United States
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Job Openings ETL SPECIALIST — JIRA DATA MIGRATION / SNOWFLAKE ARCHIVAL
About the job 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, 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
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