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We are interested in a variety of topics including data visualization and interactivity, applied machine learning and AI, AI bias and trust, big graphs, natural language processing, data mining, big data management, and heterogenous data analytics.
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Primary Job Responsibilities Create and implement short-term and long-term data strategy roadmap to reflect Client strategic initiatives that comprises of Enterprise Data Warehouse, Data Marts, Operational Data Stores, Metadata, Master Data, and Big Data (Data Lake, Data Lakehouse.
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Thorough knowledge of relevant programming languages (primarily Python, SQL), object-oriented programming principles, Big Data tools and Data Mining/Warehousing Programs (preferably Google Cloud BigQuery.
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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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Strong working experience with Big Data technologies (Spark, Data Bricks) for Data integration, & processing (ingestion, transformation, curation, etc), preferably on Azure cloud, and a clear understanding of how the resources work and integrate with cloud and on-prem.
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Experience with AWS cloud services : EC2 , EMR, RDS, Redshift , Modern data platforms, Snowflake , dbt , Fivetran and Airflow. 5+ years in data engineering with detailed knowledge of data warehouse technical architectures , infrastructure components , ETL ELT.
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Hands-on experience with modern data warehouses and lake solutions such as Snowflake, Amazon Redshift, MongoDB, Azure Data Lake Storage, Databricks Delta Lake, or Hadoop ecosystem. The Principal Product Manager for Data & AI Governance will lead the charge for roadmap execution delivering the capabilities Privacy, Security, and Data Governance professionals use to understand, control and protect their sensitive data.
$241,875 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Demonstrated proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis,DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks.
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The Artificial Intelligence & Data Engineering team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making.
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Skills: MarTech tools / knowledge, Adobe Analytics, Fullstory, Qualtrics, Microsoft Power BI, customer and network data, Digital Data Analytics, Adobe Audience Manager (DMP) This candidate needs to use data analytics & modeling skills to analyze digital, operational, session replay, VOC, customer call center, and other data sources to deliver Insights that will improve digital experiences at UPS. He/She will need to understand how audiences are created in Adobe Audience Manager (DMP), and how to leverage these audiences for robust Insights.
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Familiarity with recommending data governance best practices including MDM, security, privacy and policies. Interpreting and delivering impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps.
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Experience with AWS (Redshift, S3), Databricks, and ETL processes for data management and cloud integration. Expertise in Tableau, Power BI, and Alteryx for data visualization and automation.
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The Inform and Disseminate Scientific, Analytics and Visualization Team provides high-level public health expertise on all phases of statistical models and interpretation of analysis and studies on big data sets of surveillance and purchased clinical data for performing data analysis.
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In supporting rule analysis, Teammate should be able to Independently perform sophisticated data analytics that fit to the fraud problem being observed (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
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The Operations Management team handles requests for new or changed access to services, chargeback reporting, contract administration, market data invoice processing and general inquiry handling for index and market data services.
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big data jobs Company: Metas Solutions in Atlanta, WA, Canada
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