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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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There’s no one like you and that’s why there’s nowhere like RSM.RSM is looking for an experienced Hands-On Technical Director with expertise in big data technologies and multi-cloud platforms to lead our technical team for the financial services industry.
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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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Experience with more than one data cataloguing, data governance, data quality, data privacy and master data management (Informatica, Ataccama, Collibra, Alation, Global Ids, Big Id, etc.
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Attend meetings with various data governance groups and Subject Matter Experts (“SME”) from RBC and Enterprise Risk Management (“ERM”) Successfully complete all required training and special projects as requested.
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SKill: Big Data Architect, Cloudera Big Data Tool stack (Hive ,Impala, OoZie), Pyspark, Teradata, Shell Script, Unix programing, Hadoop 8+ years of data engineering/architecture experience in Waterfall and Agile Methodology, with a proven track record of delivering complex data solutions, preferably in the financial sector.
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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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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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You will be helping clients in areas such as (but not limited to) Data Governance, Metadata Management, Data Architecture, Data Modelling, Data Quality, Document and Content Management, Master Data Management, Open Data, Personal Data Protection, Data Security.
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Possess hands-on experience in designing and maintaining data warehouses and/or data lakes using big data technologies such as Hadoop, Spark, and especially DataBricks. Partner with the Data Operations, Data Governance and Strategic Pod Operations teams to streamline data integration, maintain data security, and access best practices.
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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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Data Governance, Lineage and Quality (Collibra, Solidatus, Informatica, Alation, Snowflake, Ab Initio, One Trust, or Big ID). Data Analyst, Technology Consulting - Data & Analytics (Data Governance & Controls) Financial Services Office (Manager) (Multiple Positions) , Ernst & Young U.S. LLP, Tysons (McLean), VA.
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Develop and maintain data lineage documentation and mappings to support data governance, regulatory, compliance, and data lineage analysis activities Collaborate with data management teams, including data architecture, data engineering, and metadata management to ensure alignment and integration of data stewardship activities in accordance with enterprise data management policies and standards.
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The Director, Data Management and Reporting will lead through collaboration with CDO Technology, the Enterprise Transformation Office, the CTO organization, and Business Data Product owners to ensure that Data Governance Programs deliver actionable results achieving agree upon strategic outcomes.
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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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big data governance jobs Title: director Company: Skanska Ab
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