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In-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc. Preferred Qualifications:Professional certifications in cloud computing (e.g., AWS Certified Solutions Architect, Microsoft Certified Azure Solutions Architect, Azure Data Engineer, SnowPro Core) and/or big data technologies.
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We are looking for self-motivated hands-on Big Data Engineer- Spark/Scala Developer for state street’s AML program. Hands-on with advanced Bigdata technologies like Hadoop, Spark, Scala, Hive, SQL and NoSQL. Experience with Public cloud technologies such as AWS, Databricks is big plus Ability to quickly learn and implement new technologies.
$75,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Advanced Analytics - Applied Econometrics, Advanced Calculus, Statistical Methods, Data Visualization, Decision Analytics & Optimization, ML, Big Data, Social Network Analytics. Techniques: Statistical Analysis, Visualization, Optimization, Machine Learning, Big Data, Data Warehouse, NLP.
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Possess Data Warehousing principals and architecture patterns to help build reporting data marts in Oracle, Big Data platforms: Hadoop and Cloud data bases eg: Snowflake/Red Shift Experience and working knowledge in extracting data from traditional data warehouse, big data ecosystems and cloud data warehouses to produce critical data for business analyst executives and operational leaderships.
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Experience designing and developing big data processing solutions (Dataflow/Apache Beam, Bigtable, BigQuery, PubSub, GCS, Composer/Airflow, or other related tools) Additional and proven experience as a Test Engineer and/or Data Engineer (preferred focus on GCP environments & emphasis on GCP services related to big data like BigQuery, Dataproc, Dataflow, and Pub/Sub.
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Data Warehouse and Big Data Experience: Possess hands-on experience in designing and maintaining data warehouses and/or data lakes using big data technologies such as Hadoop, Spark, and especially DataBricks.
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Big Data Technologies: Spark, Elasticsearch, Hadoop, Neo4j Geo-related mapping experience Who we are: Reinventing Geospatial, Inc. (RGi) is a fast-paced small business that has the environment and culture of a start-up, with the stability and benefits of a well-established firm.
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Experience in data science, statistical analysis and modelling data using leading Artificial Intelligence and big data tools (e.g. TensorFlow, R, Python, Azure SQL Server & ML Studio, Databricks, Python Power BI, etc.
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Experience working with big data distributed programming languages, and ecosystems such as Spark, Hadoop, MapReduce, Pig, Kafka. Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modeling platforms such as Azure AutoML, SageMaker, DataBricks, DataRobot, and H2O.ai.
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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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As a lead big data engineer at Booz Allen, you'll use your expertise to lead data engineering activities on some of the most mission-driven projects in the industry. We need a big data experienced professional like you to help our clients find answers in their data to impact important missions-from fraud detection to cancer research to national intelligence.
$96,600 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Development Coordinator will support BBBSLA's overall financial growth through data management and record-keeping, gift processing, the maintenance of fundraising technologies, the implementation of email and direct mail campaigns, and general administrative support for the Fund Development Department.
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Familiarity with relevant technology, such as Big Data (Hadoop, Spark, Hive, BigQuery); Data Warehouses; Business Intelligence; and Machine Learning. 7+ years of direct sales experience carrying and exceeding a quota and selling enterprise software/ software-as-a-service (Business Intelligence/ Data Warehouse/ Big Data/ Advanced Analytics/ Machine Learning) to C-level executives.
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Hands-on experience with big data technologies, including Apache Spark and Databricks Delta Lake. Stay abreast of the latest advancements in Databricks and other relevant technologies to continually enhance data engineering practices.
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As a data engineer, you know that organizing big data can yield pivotal insights when it's gathered from disparate sources. Work with us to use big data for good. 5+ years of experience with Distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
$96,600 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated Today
big data jobs Title: caregiver Company: Eagle Home Care
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