This is a remote position.

Requirements

Key responsibilities

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  Avid MAM and AXF metadata engineering.
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  Analyze and process Avid AXF exports for assignments, stories, clips, and media objects.
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  Extract, validate, and troubleshoot metadata using Python-based tooling.
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  Understand and work with Avid project hierarchies, relationships, and legacy metadata structures.
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  Retrieve and validate media object locations via archive APIs.
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  Identify and resolve corrupted exports, inconsistencies, and legacy formatting issues.
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  Metadata transformation and MAM ingest.
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  Design and implement transformation workflows to convert Avid metadata into flat, normalized JSON.
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  Map Avid fields to target MAM schemas and ingest specifications.
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  Generate and validate MAM compliant sidecar JSON files.
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  Support end to end ingest testing and verify correct asset representation and proxy generation.
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  Media validation and migration readiness.
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  Validate media completeness across Avid, archive systems, and object storage.
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  Perform checksum verification, object existence checks, and readiness validation.
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  Support preparation of migration manifests for bulk transfer workflows.
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  Identify and resolve mismatches between metadata and physical media.
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  Python workflow engineering.
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  Enhance Python workflows used for metadata extraction, transformation, and orchestration.
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  Implement robust error handling, detailed logging, and recoverable execution paths.
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  Optimize pipelines for high volume archival workloads.
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  Collaborate closely with technical stakeholders to validate logic and improve tooling.
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  Ingest verification and documentation.
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  Verify successful migration and ingest into the new MAM and cloud storage.
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  Confirm metadata accuracy, media presence, and correct asset linkage.
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  Produce detailed documentation, workflow diagrams, and operational runbooks.
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  Contribute to testing cycles, validation reviews, and regular status reporting.

Essential skills and experience

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  Strong hands on experience with Avid MAM, this is mandatory.
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  Deep understanding of Avid metadata structures, AXF packaging, and assignment story relationships.
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  Experience working with archive systems and media object validation.
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  Strong Python engineering skills for metadata processing and workflow automation.
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  Experience working with JSON based schemas and transformation logic.
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  Solid understanding of object storage workflows, including AWS S3 and Google Cloud Storage.
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  Ability to diagnose complex data and metadata issues across multiple systems.

Nice to have

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  Experience on large scale media or news archive migrations.
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  Background working in broadcast or news media environments.
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  Familiarity with modern MAM ingest workflows and proxy generation.
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  Experience producing runbooks and documentation for operational teams.

Benefits