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5+ years in designing, solutioning the Databricks, Snowflake, PySpark and Big data tools including DataOps, Data engineering, Data Integration, Data Orchestration and Data Marketplace.
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Big Data Architecture, Cloud Data Platforms Architecture (Azure, Databricks, Snowflake), In-house Big Data Platforms (Hadoop, Teradata, Exadata) This role provides you with a broad platform to build partnerships with business and risk counterparts, a vantage point to explore end-to-end data ecosystems and technologies, and ability to co-develop data solutions for GRM that drive the greatest value across the organization.
$183,200 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Our Content Engineering team is seeking a highly hardworking Data Engineer with a strong technical background and passionate about diving deeper into Big Data to develop state of the art Data Solutions.
$60 - $65 an hourExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Experience with working on big data processing platforms like Apache Spark, building ETL code using Apache pyspark. The ideal candidate will have a deep understanding of data integration, data quality and big data processing engines on Cloud Native and Cloud agnostic platforms.
$168,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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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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Experience with more than one data cataloguing, data governance, data quality, data privacy and master data management (Informatica, Ataccama, Collibra, Alation, Global Ids, Big Id, etc.
$263,900 a yearFull-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Experience with financial datasets (e.g. Refinitiv, S&P, Bloomberg) is a big plus. Hudson River Trading (HRT) is looking for a Data Production Engineer to join our Data team. Onboard datasets, explore data, and automate tasks using a modern Python data stack.
Full-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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2+ years of data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience. As a Language Data Scientist, you will start by diving deep into a couple of critical projects for Bedrock services to drive these projects forward.
$206,800 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Experience with databases and Big Data tooling such as Redshift, BigQuery, Databricks, dbt. You will work cross-functionally with multiple engineering teams, providing leadership and advice while serving as a crucial partner to various teams and stakeholders, including Business Intelligence, Product Data Engineering, Data Science, MLE & AI, and more.
$172,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Areas of special interest are Big Data, Biomedical Informatics, Data Visualization, High-Performance Data Analytics, and Machine Learning. Senior candidates will be expected to play a leadership role as the Associate Director of the new NJIT Institute for Data Science, whose Director is Distinguished Professor David Bader.
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Working knowledge and experience with data platforms/storage/warehousing (e.g., Microsoft Fabric, Amazon AWS, Google Big Query, Snowflake, Domo, Microsoft Azure, Microsoft PowerAutomate.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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The Data Reliability Engineering team for Disney's Product and Data Engineering team is responsible for maintaining and improving the reliability of Disney Entertainment's big data platform, which processes hundreds of terabytes of data and billions of events daily.
$143,900 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience with big data technologies (Spark, Clickhouse, Redshift, Snowflake etc.) Define data engineering standards and best practices and drive operational excellence. Proven success in communication with database users, software engineers and senior management to collect requirements, discuss data modeling decisions and define data engineering strategies.
Full-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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5+ years hands-on experience with the Big Data stack (HDFS, SPARK, MapReduce, Hadoop, Sqoop, Pig, Hive, Hbase, Flume, Kafka) A&I Data Service help to create data-driven organizations by providing the right solutions in Big Data technologies, Master Data Management, Business Intelligence Analytics by taking advantage of the Cloud based computing and storage.
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Big Data implementation – using Open Source and NoSQL technologies such as Databricks, Spark, Spark Streaming, Kafka, Storm, Zeppelin, Scala, Software development, Hadoop Hive, Hadoop Map Reduce, Hadoop Clusters, Cosmos DB, Azure Data Lake Storage (ADLS.
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big data jobs Company: Cisco in Secaucus, NJ
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