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Data Modeling: Requires knowledge of cloud data strategy, data warehouse, data lake, and enterprise big data platforms; Data modeling techniques and tools (For example, Dimensional design and scalability), Entity Relationship diagrams, Erwin, etc; Query languages SQL / NoSQL; Data flows through the different systems; Tools supporting automated data loads; Artificial Intelligent - enabled metadata management tools and techniques.
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Big Data Expertise : 3+ years of hands-on experience with major Big Data technologies and frameworks, including Spark, Hive, ZooKeeper, HDFS, Presto, Hadoop, MapReduce, Tensorflow, and more.
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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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This position will report to the Senior Director of Data and Analytics in the Walmart Health & Wellness Digital Transformation Office. Curiosity and passion for automation, data management, digital data and new technologies, is a must.
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Commitment to continuous learning andprofessional development, with a passion for staying abreast of emerging technologies, trends, and best practices in data management, analytics, and related fields.
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Inspire, collaborate, and build credibility as a domain expert in Big Data specifically data science, data governance, and master data management. At least 8 years of experience evolving Big Data ecosystems with hands on experience as a data engineer or DBA.
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Job Description: GCP Data Engineer, Big data Technologies , Google Cloud Platform (GCP) data services such as DataProc, Dataflow, Cloud SQL, Big Query, Cloud Spanner in combination with third parties such as Spark, Apache Beam/ composer, DBT, Cloud Pub/Sub, Confluent Kafka, Cloud storage Cloud Functions & GitHub. Must have more than 6 years experience.
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End-to-end supply chain of data including, but not limited to, AI and Advanced Analytics, Business Intelligence, Cloud enablement, Data Privacy, Data Science, Digital Transformation, Data Governance / Data Management, Enterprise Data Architecture, RPA/Intelligent Automation, Risk and Regulatory Compliance.
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Microservices and App services, Cloud Managed SQL, Big data/data lakes, AI and Machine Learning, Azure Blobs, Office 365. NET Core ASP.NET, MVC, Entity framework, Unity, o JQuery, knockout, Angular, JS libraries, CSS Bootstraps, Visual Studio 2017, REST, LINQ, ArcGIS, ESRI, SQL Server, Dynatrace, o Cloud Managed SQL, Big data/data lakes.
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Experience with cloud and big-data tools and frameworks like Databricks/Spark, Airflow, Snowflake, etc. Expertise designing and developing with distributed data processing platforms like Databricks/Spark.
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Expertise in Big data technologies such as Spark, Hadoop, Databricks, Snowflake, EMR, Glue. Cloud-based security principles and protocols like OAuth2, JWT, data encryption, hashing data, secret management, etc.
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Experience in the definition of Big Data architecture with different tools and environments: Cloud (AWS, Azure and GCP), Cloudera, No-sql databases (Cassandra, Mongo DB), ELK, Kafka, Snowflake, etc.
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Business Computers Management Consulting Group, LLC (BCMC) is a small business specializing in Information Technology (IT), Cybersecurity, Information Assurance (IA), SOA, Big Data Management, Program Management, and more for Federal, State, and Local agencies.
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The IT Digital Products team includes the following areas: Enterprise Architecture, Custom Digital Solutions, Integrations, Enterprise Data Management (EDM), Sophisticated analytics, and Robotic Process Automation (RPA.
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Exposure to big data approaches: PySpark, Apache Spark, Azure Databricks, Azure SQL, Azure ML, Java. Bachelor’s degree in computer science, Data Science, Machine Learning, or relevant technical field from an accredited institution required.
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big data management digital health jobs Title: machine learning engineer
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