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Big Data Analytical Platforms: Experience with big data technologies like Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc. Strong understanding of big data technologies such as Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc.
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A minimum of six years' experience in providing complex consultative services in the following focus areas: information strategy, big data architecture, information/data governance, master data management, data quality, data integration particularly in a life science or healthcare setting.
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Significant experience with Data Governance concept such as Data lineage, Data Quality etc., and hands on experience with DG tools such as Collibra or Talend or other,Perform incident investigation, diagnosis and provide resolution.
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Experience with data warehousing, data lakes, and data pipelines, with experience in Snowflake, AWS, Google Big Query, Airflow preferred. a data engineering team focused on building and managing the data platform, infrastructure, data products, and governance products.
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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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Functions may include database architecture, engineering, design, optimization, security, and administration; as well as data modelling, big data development, Extract, Transform, and Load (ETL) development, storage engineering, data warehousing, data provisioning and other similar roles.
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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, New York, NY.
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In addition, you will help our clients modernize their information management approach and procedures for areas such as: "agile" governance for big data, practice management and many other rapidly evolving opportunities.
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Experience in any cloud data warehouse like Synapse, Big Query, Redshift, Snowflake. Implement best practices for data management, security, and governance within the Databricks environment.
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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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DD works across a range of topics, including broadband connectivity, access, and use; digital public infrastructure (DPI); data governance and protection; cybersecurity; AI and big data; data hosting and cloud computing; and digital and climate.
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Big Data Architect, Cloudera Big Data Tool stack (Hive, Impala, OoZie), Pyspark, Teradata, Shell Script, Unix programing, Hadoop. In-depth knowledge of data governance policies, metadata management, and regulatory compliance requirements, with a focus on protecting sensitive data and ensuring data privacy and security.
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Experience with master data management and data governance. Cloud Big Data skills, such as Azure, AWS, Snowflake. Must have advanced level SQL programming and Data Visualization skills (Tableau, Power BI, Spotfire, D3.
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Find your place in technology on #TeamAmex The U.S. Consumer Services and Enterprise Digital & Data Technology Team brings together foundational strategic technology capabilities in digital experience engineering (Mobile and Web), AI/ML, marketing technology, enterprise communications, travel and lifestyle, and automation, grounded in our data technology model that prioritizes data governance.
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This position will actively engage with a data engineering team focused on building and managing the data platform, infrastructure, data products, and governance products. The Sr. Technical Product Manager is responsible for managing the development and execution of the company's data products with a focus on platform, infrastructure, and governance data product strategy, planning, and execution.
$140,000 - $165,000Full-timeExpandApply NowActive JobUpdated 5 days ago
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