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In HADOOP , you'll be given an introduction to BIG DATA, APACHE HADOOP, HADOOP ECOSYSTEM, CLOUDERA QUICKSTART VM along with core concepts of the Hadoop framework including MapReduce, HIVE, PIG, SQOOP, FLUME, HBASE, OOZIE.
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Proficiency in SQL and multiple programming languages for building data pipelines including Python, Scala, Spark, and Java. Experience in multi-threaded, concurrent programming and synchronization Cloud technology experience on platforms like AWS, Microsoft Azure, Google Cloud Experience developing Big Data applications using java, Spark, Kafka is a huge plus.
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Provides complete and consistent documentation of data warehouse content in the Caboodle Console to ensure that users can determine what data is available in the warehouse, how this data is defined, and lineage to Epic Clarity.
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Commercial data warehouse/ ETL tools such as, Talend, Informatica, Apache Airflow, etc. /At least 1 years of relevant experience with big data technologies including:/ Mathematica is seeking a Data Platform Engineer to join the Health Unit’s Health Solutions Insights (HSI) team.
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You will be utilizing Snowflake and/or Databricks tools, cutting-edge DevOps technologies, developing advanced analytics products, and applying data and statistical programming tools to enterprise data to advance and enable key mission outcomes within cloud environments (GCP, AWS, Azure.
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Have experience with both proprietary and open-source big data technologies and platforms (Snowflake, Vertica, Hive, Spark, Presto, Airflow). The individual will work in the capacity of a Senior Data Engineer focusing on the data deliverables for Business and Studio.
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Experience with big data technologies such as Spark and TensorFlow is a plus. EBG has an opening for a talented and experienced Lead Data Scientist to join our dynamic team. Master's degree or PhD in Data Science, Machine Learning, AI, Computer Science, Statistics, Mathematics, or a related field.
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This position requires:A bachelor’s degree in computer science, business or equivalent experience and eight or more years of experience as a data engineer, with strong proficiency Databricks, and Azure Data Factory.
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5+ years experience in one or multiple Big Data or cloud environments (e.g. AWS, Google AI/ML Platform., Snowflake, Databricks) The Expert Data Scientist will be a champion of the latest Machine Learning and Artificial Intelligence technology stack.
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Certifications such as Google Cloud Professional Data Engineer and /or Google Cloud Professional Architect. Design and architect scalable, secure, and cost-effective data solutions using GCP services such as BigQuery, Dataflow, Dataproc, Dataprep, Composer, Data Fusion, Data Studio, Cloud SQL, Cloud Functions and Cloud Storage.
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Understanding of Google Cloud Platform (GCP) technologies in the big data and data warehousing space (BigQuery, Cloud Functions, etc. : Develop and support data pipelines to extract, transform and load data into Google Data Center data warehouse.
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Administer, maintain, and support the Snowflake data warehouse environment, including data storage, data transfers, and computing resources to ensure optimal performance and efficiency.
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Build solutions by partnering with key stakeholders, including the IT, Information Security, Big Data and Enterprise Process Solutions teams. It is one of the core roles within the newly created Forensic Data Analytics Team within the Global Investigations and Digital Forensics Team.
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Serves as a primary contributor for the Enterprise Data Catalog, Master Data Management Metadata repositories, and manages the health and well-being of the repository using the tool Informatica Axon EDGC Business Process Management workflows.
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Understand Data warehouse and Data mart models to define manual and automation testing processes for semantic layer designs on enterprise self-service reporting. Vendor certification (Azure Data Engineering, PowerBI certifications, Snowflake Certifications.
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data warehouse big jobs Title: data engineer in Austin, TX
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