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Knowledge of Snowflake, AWS, Kafka, Airflow, Data Dog or similar big data technologies. Leading Data Operations Team: Oversee the data operations team responsible for resolving incidents and issues in data ingestion feeds, master data management, reference data management, Cloud Data Warehouse and data products.
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Solid understanding of Database Design Principles, Data Modeling and Data Warehousing including experience with SQL and NoSQL databases, Big Data technologies, industry leading Cloud Storage solutions, Business Intelligence platforms, dashboards, data mining and visualization tools (Power BI.
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Demonstrating relevant project management experience in organizing and leading teams including Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL pipeline development (tools: IICS/AWS Glue/SAP BODS/ SSIS/SnapLogic); preferable in P&C Insurance data warehouse.
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Work closely with the Technical Lead and Director, ML/AI in all aspects of data, like Connect and automate the pipelines, data processing through streaming cluster, provide data as products building data lake, data warehouse and data mart, and data cleansing and data governance developing big data engineering, Machine Learning and advanced analytics solutions.
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Cyber-physical systems, additive manufacturing, digital twin, real-time and low latency communications including wireless (5G, WiFi6), constrained networking including Single Pair Ethernet, industrial process simulation and emulation, big data analytics, cloud computing, explainable artificial intelligence, and others.
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Tech Savvy: Leverage your expertise in data engineering technologies, including GCP, C#, PostgreSQL, Google Big Query, Snowflake, and Matillion, to build robust data quality tests.
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OUR STRATEGIC PRIORITIES Customer Focus Operational Excellence High-Performance Culture Innovation Financial StrengthOUR BEHAVIORS Own It Act With Urgency Foster a Customer-First Mindset Think Big and Execute Lead by Example Drive Continuous Improvement Learn and Seek Out Development.
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Prior experience with big data technologies like Hadoop, Spark, or Snowflake. You will be part of a Global team that helps Accenture clients define their next-gen products and execute big technology visions and transformations.
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Nor will Cloud Big Data Technologies require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.
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Hands on and deep experience working with google data products(E.g Big Query, Dataflow, Cloud Data Fusion, Data prep etc.) Understanding of data ingestion pipelines and data lineage tracking using GCP products such as BigQuery, Dataflow, Cloud Data Fusion, Data prep.
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They will need to have great attention to detail and discipline to adhere to governance norms, while having the ability to see the big picture and remain agile to adjust course as business needs arise.
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As necessary, assists in conducting reviews of hardware, software, and data in terms of security, management, and data integrity. 1-3+ years of public accounting/internal audit/corporate accounting/finance experience (big 4 is a plus.
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Familiar with big data technologies (e.g. Snowkflake, Databricks, AWS Redshift) Demonstrated experience with developing data strategy, policies, and procedures, as well as successfully executing programs that meet or exceed expectations in a dynamic environment; experience creating tools and capabilities to assist with data discovery & collaboration, ensure data quality, and to load, clean, enrich, manage, and share data and metadata from a variety of sources.
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Were small enough that you wont feel like a number like at our multi-billion dollar global competitors, but big enough that we can provide security at iconic locations like Willis Tower and Millennium Park in Chicago.
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Reserve and accurately maintain master data records for assigned product categories with the ERP system. Adhere to data governance. We drive solutions to identify and create business awareness, reduce manual exceptions, increase connection, streamline operations, develop repeatable reporting, and maintain consistent data and communication paths.
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big data jobs in Milwaukee, West-columbia, South Carolina
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