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Preferred Background: Experience (-+ years working experience) with data governance, constructs including technical and business metadata; Understanding of structured and semi-structured data, data quality knowledge Strong ability to drive connections with a wide variety of data platforms including AWS (Databricks, Teradata, Snowflake, Kafka), Azure, DB and SQL Server, etc.
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Self-driven, challenge-loving, detail oriented, teamwork spirit, excellent communication skills, ability to multitask and manage expectationsNice to have:Experience in any of: machine learning, analytics, data mining, or data mart and warehouseExperience with Deep Learning platforms (Tensorflow/Keras/Spark MLlib) and SQL/Unix/ShellExperience with machine learning algorithms, NLP, and/or statistical methods a big plusYahoo is proud to be an equal opportunity workplace.
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Support the design, build and project management of Data Governance dashboards including data sourcing, extraction, transformation, loading and visualization (Tableau / Qlik) including metric calculations and thresholds.
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Experience with data governance(data plex), data security, and compliance best practices on GCP. 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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2-3 years of experience in defining enterprise data strategy in the areas such as AI, data management, data governance, data supply chain, data security, data archival, data quality, master data management, data architecture, automation and/or cloud data migration for medium to large scale corporations.
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Expertise in Cloudera Big Data Technologies, including Cloudera Distribution of Hadoop (CDP), Apache Hadoop, Apache Spark, Apache Hive, Apache Impala, and Apache HBase, with hands-on experience in deploying, configuring, and optimizing these technologies for large-scale data processing and analytics.
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Five (5) years of experience must include: Informatica AXON; EDC; IDQ; Collibra; Implementing Data Quality frameworks, metadata management solution and data governance solutions; AWS, big data technologies, python and databases; Overseeing projects and programs with a focus on delivery; Data management; Data Governance strategy; Presentation Skills; Software Design and Architecture; Project/Program Management; Stakeholder Management.
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A robust understanding of core data engineering topics – ETL vs ELT, structured and unstructured data, data quality and data governance. You will have indepth knowledge and experience in; cloud data lake house; Databricks (preferred) or Snowflake; cloud-native solutions knowledge; SQL or Python; modern DevOps approach; have written data code AND also the CI/CD pipelines.
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Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
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You have experience managing multiple high-visibility and high-impact enterprise cybersecurity initiatives with cross-functional teams while maintaining superior results through risk analytics, data governance, and insight generation.
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You have passion and expertise in one or more of the following areas: risk analytics, data analytics, machine learning, SQL, Python, cloud security, network security, vulnerability management, data protection, threat intelligence & investigations, and identity & access management.
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Experience with big data technologies Hadoop, Spark) and cloud platforms AWS, Azure). We are seeking a talented and experienced Data Scientist to join our team onsite at Warner Robins Air Force Base (AFB), GA. This role is integral to harnessing data to support mission-critical decisions in a secure defense environment.
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Experience of implementing Amazon EMR or Big Data technologies like Hadoop, Spark, Presto, Hive will be a plusPrior domain experience of Life Insurance, Annuity or Financial Services is a plusAWS Certifications are considered a strong plusExcellent verbal and written communication skills.
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Query/database and business intelligence tools such as Cognos, Tableau, PowerBI, SQL and data governance fundamentals. Under the supervision of the Model Risk Manager, the Model Risk Analyst II - Credit will use quantitative expertise, critical thinking, problem solving, and analytical skills in the bank’s Model Risk Management (MRM) program to ensure compliance with model risk governance policy and regulatory expectations.
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Similar Job Titles: Database Administrator (DBA) Database Engineer Data Architect Database Manager Data Warehouse Specialist Keywords: Relational databases Database design Data management Data governance Database optimization Legal Disclaimer: Cherokee Federal is an equal opportunity employer.
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big data governance jobs Company: Mastech Digital
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