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Led by Green Line Apothecary co-founder and president Ken Procaccianti, Lineage Corporation is the in-house agency overseeing design, marketing communications, and construction. Lineage Corporation, the marketing agency for the Green Line Apothecary family of companies, is hiring a Social Media Specialist.
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Define data mapping and lineage to produce accurate reconciliations across multiple sources. The candidate will also be responsible for data mapping and lineage definition in order to produce accurate reconciliations across multiple sources.
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While traditional aspects of data governance and some experience in Master Data Management (MDM) remain vital, the primary emphasis will be on the modern elements of data governance such as data quality, data observability, data lineage, data catalog, and business glossary.
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Familiar with metadata management, data lineage, and principles of data governance. Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark.
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Experience in defining and operationalizing data strategy, data governance, data lineage, and quality standards. Experience with defining and operationalizing data strategy, data governance, data lineage and quality standards.
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Data Strategy and Governance: Experience in defining and operationalizing data strategy, data governance, data lineage, and quality standards. Documented capabilities and coverage for data lineage within the data domain.
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Enable Databricks Unity Catalog (UC) for lineage and governance. Enable Databricks Unity Catalog (UC) for lineage and governance. Design platform architecture with Azure Cloud Services and Databricks Delta Lake. Create and publish guidelines for Data Integration services.
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10+ years of hands-on experience focusing on elements of data governance such as data quality, data observability, data lineage, and data cataloging. Prioritize and lead initiatives in data quality, data observability, data lineage, data catalog, and business glossary as core components of data governance.
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Experience engineering big-data solutions using technologies like EMR, S3, Spark, Databricks. Familiarity with data exploration and data visualization tools like Tableau, Looker, etc. Flexible work from home options available.
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Involved in the creation or enhancement efforts of metadata repositories, data dictionaries, data quality rules, data lineage, reference data, functional process mapping efforts and related data governance procedures.
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Identifies and maintains key data elements, including Data Ownership, Data Lineage and the Data Glossary in Axon and EDC. The Senior Enterprise Data Governance Steward partners with counterpart Data Stewards within the Business Process Owner’s (BPOs) line of business, Internal Audit and Enterprise Risk Management (ERM), to ensure consistent adoption, approach and adherence to the treatment of data across the Bank.
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Hands-on experience and proficiency in Data Governance tools like Informatica IDMC, Collibra, and Alation across all DG capabilities, aka, Data Catalog, Metadata Management, Glossary, Lineage, Data classification / Access / Security, Data Marketplace.
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Partner with business to define data taxonomy, policy, catalog, lineage and challenge the status quo. What you’ll be doing:As a senior business solution architect (BSA) for master data management (MDM) & data quality management (DQM) focused on end-to-end engineering & manufacturing (Engg. & Mfg.) and product lifecycle management (PLM) processes, you will play a critical role in enabling data architecture and governance to help drive standardized and sustainable enterprise data footprint.
$148,000 - $230,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data cataloging and lineage. Deep knowledge of modern data warehouse platforms (Snowflake, Databricks, Redshift, Azure Synapse) Hands-on independently and/or with Tech Leads, with Cloud-based technologies (i.e., Snowflake, Databricks), creating data pipelines and orchestration to integrate systems.
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Experience Using airflow at scale, with integration to meta-data and lineage systems of record. Deep experience building data pipelines leveraging Spark (Azure Databricks or Apache Spark), Airflow.
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