ETL SPECIALIST — JIRA DATA MIGRATION / SNOWFLAKE ARCHIVAL

Glint Tech Solutions; Plano (TX); On-site; USD 80,000 - 110,000; Full time

Job summary

Glint Tech Solutions is looking for an experienced ETL Specialist to support a Jira data migration initiative. The role involves data extraction, transformation, and loading into a configured Jira environment and archival of source data into Snowflake for long-term needs.

The ideal candidate should have strong ETL development experience, proficiency in SQL, and familiarity with Jira data structures. Additional skills in Python and data processing are highly desirable. Join us for a dynamic role focused on data management and reporting.

Qualifications

• Strong ETL development experience with Python, SQL, and Snowflake.
• Experience with Jira data structures and APIs.
• Ability to handle large data volumes.

Responsibilities

• Support a Jira data migration initiative.
• Perform data extraction, transformation, and loading.
• Archive source data into Snowflake.

Skills

ETL development experience with Python

SQL skills for profiling and transformation

Experience with Snowflake

Experience with Jira data structures

Understanding of batch data processing

Ability to work with JSON, XML, and CSV

Handling large data volumes

Tools

Informatica

Talend

dbt

Airflow

Azure Data Factory

Job description

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