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Broad knowledge across data engineering (e.g., ETL/ELT, data modeling), data governance (e.g., data modeling, data classification, data catalog and lineage), batch and real-time streaming data platforms and cloud services (e.g., GCS, BigQuery.
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Experience with Data Governance applications and tools such as Informatica Data Catalog, ASG, Solidatus, Pellustro are nice to have. Working knowledge of data governance frameworks, best practices and how they are effectively supported by good products, in particular Metadata Management, Data Lineage but also data quality, data privacy, data use and records retention.
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Knowledge of Data Cataloging, Data Marketplace, and Data Management tools (Such as Informatica Cloud Data Governance & Catalog (CDGC), Cloud Data Marketplace (CDMP, Cloud Data Integration (CDI.
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Experience with Data Governance, Master Data Management, and Enterprise Data Quality platforms. Collaborate with data stewards, leaders, and stakeholders to implement data governance standards and processes, around Master Data management.
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The Manager, Data Engineering will work with our business areas to build out the business glossary and data catalog, implement data management projects, and oversee the adoption of data governance and master data management efforts.
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Well versed in the Data domains (Data Warehousing, Data Governance, MDM, Data Quality, Data Standards, Data Catalog, Analytics, BI, Operational Data Store, Metadata, Unstructured Data, non-traditional data and multi-media, ETL, ESB.
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Integrate with other solutions such as Data Catalog, Data Marketplace, data platforms like Snowflake and AWS, authentication solutions like Active Directory and enablement through ServiceNow.
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This role will be responsible for implementing core data governance tooling across the business including data catalog and data quality monitoring and reporting and overall governance monitoring utilizing company policies to drive the quality, security, and compliance of our data.
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Maintaining familiarity with the technology stack available in the industry for metadata management: Data Governance, Data Quality, MDM, Lineage, Data Catalog, etc. Providing technical input to and support data governance policies and standards and processes related to data with clear data classification and ownership, access and security (privacy & protection) of sensitive data.
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Data Governance, Data Modeling, Data Catalog, Data Profile, Data Quality, Data Lineage. Preferred Background:Experience (3-4+ years working experience) with data governance, constructs including technical and business metadata; Understanding of structured and semi-structured data, data quality knowledgeStrong ability to drive connections with a wide variety of data platforms including AWS (Databricks, Teradata, Snowflake, Kafka), Azure, DB2 and SQL Server, etc.
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Experience with data governance tools such as Alation, Collibra, Databricks Unity catalog, Informatica etc. Be a thought leader and evangelist of data governance practices to drive adoption and knowledge at all levels of the organization.
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2+ years of hands-on experience implementing Collibra data catalog, data governance, data lineage, data privacy, and data quality capabilities. Conduct interviews with client stakeholders to assess current metadata management and data governance capabilities and refine use cases associated with metadata management, taxonomy, and ontology development.
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Knowledge and use of one or more programming language: e.g., Python, Scala, Java. Experience in utilizing any cloud-based data governance solutions, like Open Policy Agent (OPA), Strya-DAS, Immuta, Privacera, Gatekeeper, AWS Data Governance tools, Google Cloud Data Catalog/DataPlex, or Microsoft Azure Purview, to manage and govern data across various cloud environments.
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FirstPro is now accepting resumes for a Data Engineer position based in Boston, MA. This role will focus on data governance and data quality initiatives with Snowflake and DBT in a Financial Services environment.
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Recent and verifiable experience in data related technologies (AWS RDS, S3, Aurora, Boomi Data Catalog, RDBMS, NoSQL, Databricks, Kafka, PowerBI, Snowflake, Spark, Tableau etc. With the support of the ITT Data Engineering team, design, develop, and maintain the organization's data infrastructure that includes the database repositories and storage, data pipelines, data catalog, and integration with SFOs Enterprise Message Bus.
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