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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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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.
$130,000 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Sr. Big Data Engineer, you will work with a variety of talented teammates and be a driving force in technical initiatives that will accelerate analytics at Client. Big Data Engineer.
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We’re looking to expand our Big Data Engineering team to keep pace. 5+ years’ experience in large-scale software development/Big Data technologies. Client is embracing Big Data technologies to enable data-driven decisions.
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Experience working with Python, R, SQL, and Spark for Big Data Analytics. Experience with ML frameworks such as scikit-learn and Big Data feature engineering for ML. Lead the Analytics Center for Enablement partnering with data scientists, data engineers and product managers to deliver BI, ML and NLP solutions.
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Senior Java/Big Data Developer – FX Trading. Demonstrated understanding of enterprise data warehouse, big data, BI & analytics, content management and data management.
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This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
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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 specially DataBricks.
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4+ years of experience with scientific scripting languages (e.g., Python, R, SAS), as well as big data frameworks such as Hadoop MapReduce. 6+ years of experience of Data Science model development with a combination of Bayesian statistics, regression analysis (beyond linear regression), forecasting/predictive analytics, multivariate testing, supervised learning, unsupervised learning or time-series analysis, implementing large-scale optimization models (mixed integer and linear programming, genetic algorithms) and using optimization packages such as Gurobi, CPlex,or others.
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You are very skilled at using one or more BI tools (e.g. Tableau, Sigma, Looker), cloud data warehouses (e.g. Snowflake, Redshift, Big Query), data transformation frameworks (e.g. dbt), and data science tools (e.g. Python/Jupyter, Julia, R.
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Design and implement distributed data processing pipelines using Spark, Hive, Python, Airflow, and other tools and languages prevalent in the Hadoop ecosystem. You will be working on projects that build data artifacts to answer questions about consumer behavior, commerce trends, consumer touchpoint preferences and more.
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Assist in the development of a big data platform in Hadoop using pipeline technologies such as Spark, Airflow, and more to support a variety of requirements and applications. and big data ecosystems (Kafka, Cassandra, etc.
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Build high-performing clinical data processing frameworks leveraging Google Cloud Platform, GCP Shared Services like Google Healthcare API, Big Query, and HL7 FHIR store. 5+ years of hands-on experience working with "Big Data" technologies and experience with traditional RDBMS (e.g., Teradata, Oracle, DB2), SQL, HQL (Hive Query Language), Python, Unix Shell scripting, JSON, and XML.
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Lead the design and delivery of data models, reporting systems, data automation systems, dashboards and performance metrics that support key business operational decisions. Experience with DBT, Airflow or similar analytics workflow tools is a big plus.
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In-depth knowledge of the Databricks Unified Analytics Platform and its features for collaborative big data analytics. Direct Client - Sr Lead Data Engineer Apache Spark, Spark Core, Spark SQL, Spark Streaming – Data Bricks Location: Hybrid (Seattle, WA) Length: 12 Months Job description This position contributes to Client success by building enterprise data services for analytic solutions.
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big data jobs Title: technology lead Company: Nike
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