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ETL Specialist Jira Data Migration Snowflake Archival
Location: Plano, TX (Onsite)
Job Type: Contract:
Project description:
ETL Specialist Jira Data Migration Snowflake Archival
Location: Plano, TX (Onsite)
Job Type: Contract:
Project description:
- We are seeking an experienced ETL Specialist to support a Jira data migration initiative involving multiple Jira source repositories being consolidated into a single staging Jira repository and eventually loaded into a newly configured Jira environment. The role will focus on data extraction, transformation, normalization, deduplication, and loading activities, while also supporting archival of source repository data into Snowflake for long-term reporting and audit needs.
- Design, build, and support ETL pipelines for extracting data from multiple Jira source repositories.
- Ingest Jira data from APIs, database extracts, CSV/JSON/XML files, or other approved source formats.
- Transform and normalize Jira entities such as projects, issues, epics, stories, tasks, subtasks, users, comments, attachments, workflows, statuses, priorities, labels, custom fields, links, and history.
- Implement deduplication logic across multiple Jira repositories to identify duplicate issues, users, components, labels, and related metadata.
- Support data mapping from source Jira schemas into the target Jira configuration.
- Load cleansed and validated data into a staging Jira repository and support final migration into the target Jira instance.
- Archive source repository data into Snowflake using structured, queryable data models.
- Build reusable ETL scripts, jobs, and data quality checks.
- Collaborate with data analysts, QA testers, Jira administrators, and customer stakeholders.
- Document ETL logic, transformation rules, exception handling, reconciliation results, and load procedures.
- Troubleshoot data load failures, schema mismatches, encoding issues, API limitations, and data quality exceptions.
- ETL design documents.
- Source-to-target mapping specifications.
- Transformation and deduplication logic.
- Snowflake archival data model.
- ETL jobs/scripts/pipelines.
- Data reconciliation reports.
- Load execution logs and exception reports.
- Migration support documentation.
- Strong ETL development experience using tools such as Python, SQL, Snowflake, Informatica, Talend, Matillion, dbt, Airflow, Azure Data Factory, or similar platforms.
- Strong SQL skills for profiling, transformation, reconciliation, and validation.
- Experience working with Snowflake for data storage, archival, reporting, and analytical queries.
- Experience with Jira data structures, Jira APIs, Jira exports, 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 restart ability.
- Ability to work with semi-structured data formats such as JSON, XML, and CSV.
- Experience handling large data volumes and complex source-to-target mappings.
- Experience with Jira Cloud, Jira Data Center, or Jira Service Management migrations.
- Experience using Atlassian REST APIs.
- Experience with Python libraries such as pandas, requests, SQLAlchemy, PySpark, or Snow Park.
- 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