ETL Specialist — Jira Data Migration / Snowflake Archival

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Anywhere, Anywhere

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Data Modeling

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Cross Industry Solutions

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10/06/2026

Req. VR-123384

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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.

Responsibilities
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Design, build, and support ETL pipelines for extracting data from multiple Jira source repositories.

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Ingest Jira data from APIs, database extracts, CSV/JSON/XML files, or other approved source formats.

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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.

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Implement deduplication logic across multiple Jira repositories to identify duplicate issues, users, components, labels, and related metadata.

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Support data mapping from source Jira schemas into the target Jira configuration.

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Load cleansed and validated data into a staging Jira repository and support final migration into the target Jira instance.

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Archive source repository data into Snowflake using structured, queryable data models.

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Build reusable ETL scripts, jobs, and data quality checks.

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Collaborate with data analysts, QA testers, Jira administrators, and customer stakeholders.

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Document ETL logic, transformation rules, exception handling, reconciliation results, and load procedures.

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Troubleshoot data load failures, schema mismatches, encoding issues, API limitations, and data quality exceptions.

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ETL design documents.

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Source-to-target mapping specifications.

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Transformation and deduplication logic.

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Snowflake archival data model.

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ETL jobs/scripts/pipelines.

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Data reconciliation reports.

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Load execution logs and exception reports.

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Migration support documentation.

Skills

Must have

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Strong ETL development experience using tools such as Python, SQL, Snowflake, Informatica, Talend, Matillion, dbt, Airflow, Azure Data Factory, or similar platforms.

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Strong SQL skills for profiling, transformation, reconciliation, and validation.

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Experience working with Snowflake for data storage, archival, reporting, and analytical queries.

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Experience with Jira data structures, Jira APIs, Jira exports, or similar enterprise ticketing/work management platforms.

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Experience with data normalization, deduplication, merge rules, survivorship logic, and master-data-style matching.

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Strong understanding of batch data processing, error handling, logging, and restartability.

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Ability to work with semi-structured data formats such as JSON, XML, and CSV.

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Experience handling large data volumes and complex source-to-target mappings.

Nice to have

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Experience with Jira Cloud, Jira Data Center, or Jira Service Management migrations.

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Experience using Atlassian REST APIs.

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Experience with Python libraries such as pandas, requests, SQLAlchemy, PySpark, or Snowpark.

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Experience with data governance, lineage, auditability, and archival strategies.

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Experience with Azure, AWS, or cloud-based data platforms.

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Familiarity with Agile delivery, sprint planning, and migration cutover activities.

Other
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Languages

English: C2 Proficient

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Seniority

Regular

Anywhere, Anywhere

Req. VR-123384

Data Modeling

Cross Industry Solutions

10/06/2026

Req. VR-123384

Apply for ETL Specialist — Jira Data Migration / Snowflake Archival in Anywhere

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