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Work with AWS big data technologies including EMR, Glue, S3, EKS, Lambda, Athena, RDS. 6+ years’ experience working within the AWS Big Data/Hadoop Ecosystem (EMR, Glue and Athena.
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Hands-on experience with analytics and big data technologies within Microsoft Azure, with experiences in tools such as Azure Data Factory, Azure Machine Learning, Azure Cognitive Services, Azure Databricks and Azure Synapse Analytics.
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Specialized training in Data Engineering, Data Science, Machine Learning, Big Data Platforms (Spark, Kafka, Hadoop, H2O, etc.) LICENSING/CERTIFICATION Any certification specializing in data engineering, big data, data science, machine learning, artificial intelligence, or statistical analysis from accredited institutions of higher learning.
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Databricks Implementation: Utilize Databricks for advanced data processing, machine learning, and big data analytics, integrating with Snowflake for seamless data access and analysis.
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6 years An equivalent of 6 years experience with big data, database query and analysis languages (e.g. Python, SQL, Snowflake SQL, R, Scala, SAS, Azure DataBricks) and data visualization tools (e.g. Power BI, Tableau) required.
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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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The candidate should have expertise in data modeling, SQL, Python, R, data warehousing, big data technologies, data pipeline construction, data quality, cleansing, version control, cloud services, machine learning, feature engineering, deep learning, and natural language processing.
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Delivery experience in Data Engineering with Google Cloud Platform including Big Query, Dataflow, Cloud Data Fusion, Cloud Composer, Dataproc, Cloud Pubsub, Cloud Function etc. They will use relevant statistical techniques, machine learning models and artificial intelligence algorithms to analyze data, design data models and derive insights to influence actions that maximize business value and effectiveness for the commercial technology segments.
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Big Data, Cloud enablement, TOGAF, Database architecture principles, Mainframe - COBOL, DB2. Experience with Big Data technologies like Apache Hadoop, HBase, Spark, Hive. Big Data, Cloud enablement, TOGAF, Database architecture principles, Mainframe - COBOL, DB2.
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Big Data Technologies: Distributed Computing: Tools like Apache Spark, Hadoop. Big Data Storage: Technologies such as HDFS, Apache Cassandra, or cloud storage solutions. Transform your career to the next level with GDIT as a Solutions Architect where you can elevate your skills in Data Science, Machine Learning, or leading AI techniques and technology expertise into solutions in support of our Government customers.
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Strong knowledge in Machine learning and AI.Strong experience in Azure Big Data Technologies like Azure Data Lake, ADLA, HDInsights, Databricks, EsgynDB etc. Experience implementing and automating models created by data science teams (i.e. Spark, Scala, Hive, Python, R, etc.
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Experience with data visualizations tools like SSRS, PowerBI & Tableau. Experience architecting and building data marts, warehouses, etc. Experience with data modeling and normalization concepts.
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Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Databricks, Big Query). Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines.
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Advanced knowledge of the Hadoop ecosystem and Big Data technologies Hands-on experience with the Hadoop eco-system (HDFS, MapReduce, Hive, Pig, Impala, Spark, Kafka, Kudu, Solr) Mines and analyzes data from various banking platforms to drive optimization and improve data quality.
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Manager, Solution Architect - DAS Enterprise Risk ManagementPrimary Location: Hermitage/Nashville, TNOther Various locationsIf you are passionate about how digital technology is transforming business, plan your next career move with Deloitte s ITS Application Studios.
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big data jobs Title: technology lead Company: Inc
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