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Risk IT-Apache Spark/Scala/Big data. Mid exp level Developer : Java/Scala, Sql, Spark, Experience in executing Scala/Spark code using Databricks framework." Risk IT-Apache Spark/Scala/Big data.
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We have a need for an enthusiastic and skilled Python developer who is interested in learning about quantitative analytics and perhaps looking to make a career at the intersection of Financial Analytics, Big Data and Mathematics.
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Exposure on JDBC/Big Data connectivity with Tableau/Qlik. Understand and analyze the data to find patterns and valuable business insights. Position- Senior Tableau Developer.
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Experience in Big Data technologies like Apache Hadoop, Hbase, Spark, Hive. Core Java, spring boot Kafka, REST, Hibernate, JASON ,XML. SQL, Oracle(primary), DB2, Mango. Agile development experience, SDLC tools like Maven, Jenkins, GIT etc.
$60 - $65 an hourExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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In 14 technology hubs worldwide, our team of 40,000+ technologists design, build and deploy everything from enterprise technology initiatives to big data and mobile solutions, as well as innovations in electronic payments, cybersecurity, machine learning, and cloud development.
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Strong knowledge of big data technologies and frameworks, such as Apache Hadoop, Apache Spark, Apache Kafka, Apache Hive or Impala. Leadership and mentoring skills, as senior data engineers often lead and guide other members of the data engineering team.
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Experience with multiple large-scale Enterprise Hadoop or Big Data, Data Bricks, Cloudera, HD Insights, or other environments focused on operations, design, capacity planning, cluster set up, security, performance tuning and monitoring.
Full-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Role: Hadoop Developer. Experience with Spectrum Conductor or Databricks with Apache Spark. Experience with the full Cloudera CDH/CDP distribution to install, configure and monitor all services in the Cloudera stack.
ExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Strong understanding of Data Warehousing concepts for big data applications and services, preferably using Snowflake. Experience in Writing strong SQL in Data warehouse technologies (Snowflake or any modern database.
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Own the project during phases from initiation, development, unit testing to QA, UAT, Staging and ProductionSkills: Fluent in Python and related technologies (Pandas, NumPy) Bachelor degree, Master’s preferred in Statistics/Engineering/Computer Science Strong Analytical and problem solving skills Experience with pricing and risk calculations of various asset classes Experience working within the Spark/Hadoop or any big data distributed ecosystem 21.
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Degree in an analytical field such as Data Science, Machine Learning, Analytics, Statistics, Computer Science, or highly quantitative engineering. Data engineers will implement infrastructure for data processing, analysis, reporting, integrations, and machine learning model deployment.
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We have partnered with our client in their search for a Big Data Developer. Title: Big Data Developer. You should be comfortable working in a fast-paced environment and can help build APIs, Calculators, on new cutting-edge cloud and big data technologies such as AWS EMR, EC2, Scala Spark, Scala, Snowflake.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Knowledge and/or experience working within the Hadoop or other big data distributed ecosystem. Knowledge of performance tuning data intensive applications. 2+ years of SQL programming experience preferably with databases such as Oracle Exadata.
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Experience with Big Data technologies like Apache Hadoop, HBase, Spark, Hive, Snowflake. Experience on working on high throughput microservices by leveraging concurrency, multi-core, multi-node solutions supporting multithreading, event-based processing or on developing services to manage high data volume.
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The team requires an embedded Quantitative Developer with a specialist data focus to sit alongside senior equities PMs at its NYC office. However, experience within a fundamental hedge fund or the investment banking and healthcare industries or big tech are desirable in that they likely equip candidates with relevant transferrable skills.
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big data jobs Title: developer in New York, NY
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