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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. Production experience with developing content recommendation algorithms at scale and familiar with metadata management, data lineage, and principles of data governance.
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Partner with key business executives to develop and drive a Data Governance framework that enables a common data language and creates trust in enterprise data.
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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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Four years of work experience in Model governance, Model Risk Management, Audit, information management can be substituted in lieu of a degree in addition to the minimum years of work experience.
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Experience building and deploying full stack ML pipelines: data extraction, data mining, model training, feature development, testing, and deployment. Building streaming data pipelines using Kafka, Spark, or Flink.
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A robust understanding of core data engineering topics – ETL vs ELT, structured and unstructured data, data quality and data governance. Working to design, build and support a transformational Databricks cloud data platform for the business.
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Developing and maintaining enterprise-wide policies, procedures, standards and training for SOX Compliance, Broker-Dealer 17a-5 Compliance, Internal Control requirements for US Federal Reserve Bank filing for Capital & Stress Testing (FR Y-14 A/Q/M reports) in support of CFO Attestation, and ESG reporting.
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Familiarity with cloud-based big data platforms such as Snowflake, CosmosDB, and/or Azure Fabric would be considered a plus. Strong understanding of security best practices and data governance principles.
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You’ve worked with governance teams and understand the foundations and importance of a strong data security posture, and are always tracking activities back to the big picture - protecting and enabling the business.
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Job Title: ETL Ab Initio Data Validation Engineer (SDET) Primary skills: Ab Initio, Pyspark, Hive Iceberg on Azure Datalake (ADLS) or Iceberg on Snowflake Database and OS: Oracle, DB2, SQL, Data Warehousing, Linux About the job We are seeking a highly skilled ETL Ab Initio Validation Engineer with expertise in Ab Initio and Snowflake or Azure Datalake to join our dynamic team within our organization.
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Should also be able to Identify the implications for data governance that arise from the technology, current processes, and skill levels in a complex data environment. Identify data governance gaps and assess data governance maturity in a complex data environment.
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Finally, the AVC of Research Computing will participate in IT Governance structures such as the Research Computing and Data Infrastructure Committee, the IT Systems and Data Governance Committee, the Academic Senate's Committees on Information Technology and Research, and the University of California system-wide IT committees, such as the Research IT Committee.
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Demonstrated experience in data governance, data quality management, and data security practices. The ideal candidate will possess a deep understanding of data architecture principles, data discovery/modeling, and the seamless integration of emerging technologies into a cohesive data ecosystem that fosters innovation, operational excellence, and strategic insights.
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Previous experience in Data Governance Implementation as a functional lead or functional project manager (High proficiency) We are seeking a skilled and experienced Data Governance Lead to define and implement a comprehensive Data Governance strategy across The Friedkin Group of companies.
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The Cloud Architect/Infrastructure Cloud Manager will be a subject matter expert in Azure plus GCP. With a strong architecture background they will sit at governance level and be responsible for delivering Infrastructure Improvement Programmes with accountability for budgets up to £1 million and will be required to liaise with numerous stakeholders (via recognised governance forums.
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big data governance a plus jobs Company: Cloudera
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