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Big Data Engineer. Design and implement a scalable data platform including data management and governance, and integrate structured, and unstructured data using cloud-based services.
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Big Data Architect IT Consultant Master (ONSITE) This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
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Familiarity with data governance, data security, and privacy regulations. -Drive the design, documentation, and implementation of robust data management strategies, including data governance, security, and compliance.
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Development, implementation, and maintenance of enterprise-wide data governance technologies, with a focus on improving data quality, data lineage and data discoverability.
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Data Strategy: Requires knowledge of understanding of business value and relevance of data and data enabled insights / decisions; Appropriate application and understanding of data ecosystem including Data Management, Data Quality Standards and Data Governance, Accessibility, Storage and Scalability etc; Understanding of the methods and applications that unlock the monetary value of data assets.
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Experience in utilizing cloud-based data governance solutions, including Open Policy Agent (OPA), 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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Hands-on experience in Big Data, Cloudera Distribution 7. Strong project experience in Big Data, Cloudera Distribution 7. Big Data Hadoop Engineer. Hands-on experience building data pipelines using Hadoop components Sqoop, Hive, Solr, MR, Impala, Spark, Spark SQL., HBase.
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Hands-on technical experience with big data systems including experience in designing and implementing large distributed systems. The MEGDP serves many use cases including regulatory reporting, analytics, and data science.
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As a Senior Data Architect specializing in Data Discovery, Data Mapping, Data Modeling, Data Quality, Enterprise Information Model adoption, different types of Database Storage Systems involving relational, NoSQL, azure cloud data solutions, and Big Data Analytical Platforms, you will play a pivotal role in designing, implementing, and optimizing our data architecture artifacts to support advanced data initiatives.
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Big Data Architect. Proficiency in data technologies such as relational databases, data warehousing, big data platforms (e.g., Hadoop, Spark), data streaming (e.g., Kafka), and cloud services (e.g., AWS, GCP, Azure.
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Data Modeling: 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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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Experience engineering big-data solutions using technologies like EMR, S3, Spark, Databricks.
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Familiar with Data Governance process (Identifying critical data elements, metadata, data lineage, data dictionary, data model, Data Sharing Agreement, Service Level Agreement, Data Management Standards.
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End-to-end supply chain of data including, but not limited to, AI and Advanced Analytics, Business Intelligence, Cloud enablement, Data Privacy, Data Science, Digital Transformation, Data Governance / Data Management, Enterprise Data Architecture, RPA/Intelligent Automation, Risk and Regulatory Compliance.
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As a data engineer, you have experience spanning traditional DW and ETL architectures and big data ecosystems like Databricks / Snowflake / EMR / Airflow. A big part of that effort is our support for members and allies of internal groups like Asians at Dropbox, BlackDropboxers, Latinx, Pridebox (LGBTQ), Vets at Dropbox, Women at Dropbox, ATX Diversity (based in Austin, Texas) and the Dropbox Empowerment Network (based in Dublin, Ireland.
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big data governance jobs Title: big data architect
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