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Experience in master data (MDM), metadata, and data governance tools (Alation, Erwin, Collibra, Azure Purview). Policy Implementation: Apply metadata management and master data strategies within data workflows.
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Proficiency in using digital asset management software and tools to create, edit, and correct authority metadata, especially EMu, ArchivesSpace, Horizon, and The Museum System (TMS). The Archivist will work collaboratively with museum, library, and archives staff to evaluate existing digital collections and make recommendations for enhanced or additional metadata to describe women using recognized metadata standards for libraries, archives, and museums including MARC, Encoded Archival Context for Corporate Bodies, Persons, and Families, Encoded Archival Description, etc.
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Skilled in modern data platforms (Azure Synapse, Databricks, Redshift, Big Query, Snowflake). Proficiency in Python, PySpark Scala, Java, SQL, Airflow, dbt. Programming languages: Java, Pyspark, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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Define and support the rollout and adoption of metadata repository, data catalog, reference data management, and data lineage capabilities. Ability to understand metadata management, including metadata management, lineage, and cataloging.
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Experience with Continuous Integration and Continuous Delivery systems (Azure DevOps, GitHub). Expertise in ETL/ELT, SQL, and cloud data integration tools (Azure Data Factory, AWS Glue, Informatica, etc.
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LAC Federal is seeking a remote Digital Archivist to assist with enhancing metadata for digital collections to improve the discoverability of archival materials pertaining to women's history. The Archivist will meet with custodial units to identify collections that require enhancement and will help devise a streamlined workflow for creating, updating, and validating metadata.
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Complete metadata and file uploads for UP VOD, Aspire VOD, and Comcast BEX. Reports to: VP, Content Services and Production Management. Complete metadata and file uploads for UP VOD, Aspire VOD, and Comcast BEX.
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Perform quality control of metadata records. Bachelors or Masters degree in library and information science, museum studies, archival management, or related field preferred but not required. Experience creating and updating authority records and working with major authority utilities such as Library of Congress Name Authority File (LCNAF), Virtual International Authority File (VIAF), Union List of Artist Names (ULAN), Social Networks and Archival Context (SNAC.
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Database Query Engine, Data Infrastructure, Data Pipelines, Data Platform, Database Security, Data Governance, Data Sharing, FoundationDB, Manageability, Metadata, Service Runtime, Snowhouse Foundation, Storage and ML Engineering.
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Demonstrated ability to implement and enforce data quality standards, data governance practices, and metadata management for maintaining accurate and reliable datasets. Data pipeline orchestration implementation experience (Airflow DAGs, Kubernetes Helm Charts, Docker Compose files.
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Requires knowledge of cloud data strategy, data warehouse, data lake, and enterprise big data platforms; Data modeling techniques and tools (For example, Dimensional design and scalability), Entity Relationship diagrams, Erwin, etc; Query languages SQL / NoSQL; Data flows through the different systems; Tools supporting automated data loads; Artificial Intelligent - enabled metadata management tools and techniques.
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Knowledge and experience with creating and manipulating datasets in CSV, JSON and XML formats. Attend meetings with museum custodial units to discuss project status and progress. Retirement Plan (401k, IRA.
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Our business is guided by our people helping people philosophy which includes our team members. Solid experience with cloud technologies (Azure, AWS, GCP). Mentorship and Leadership: Guide and support data engineering teams, enhancing business data processes and systems.
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Evaluate datasets and digital collections and recommend authority identifiers to enhance discoverability of women's history. Family Leave (Maternity, Paternity) Create at least 15 new identifiers each week that pertain to women's history.
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Skill Development: Assist in developing a training plan for advanced data engineering skills. In this dynamic role as a Senior Data Engineer, youll be at the forefront of shaping and implementing cutting-edge data solutions.
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