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Knowledge of the Financial reporting ecosystem will be a plus.5+ years of experience within Data Engineering/ Data Warehousing using Big Data technologies will be an add-on Expert on Distributed ecosystems Hands-on experience with programming using Core Java or Python/Scala.
ExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Job title: Big Data Developer. Data Processing: Design, develop, and maintain scalable and efficient data processing pipelines using technologies such as Apache Spark, Hive, and Hadoop.
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The work involves designing, developing, and implementing data models, index structures, and storage strategies; ingesting/indexing processes and transforming/normalizing data to common standards using log aggregation tools (e.g., Elasticsearch and Splunk); enriching data upon ingest and querying; and creating queries against big data.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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In a consulting environment, meet with client user management to gather and evaluate requirements within the client's existing systems with the objective of providing improved big data and machine learning applications in a cloud environment (AWS/Azure/Lambda.
$90,000 - $96,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Java developer with big data skills on the large Finance portfolio. 5+ years of recent hands-on experience on an agile development team of building big data capabilities with Apache Spark HIVE on Java/Python.
$40 - $45 an hourExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Knowledge of different SQL/NoSQL data storage techniques and Big Data technologies. Passionate about sophisticated data structures and problem solutions. Understanding of data modeling concepts.
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Job Title: Data Warehouse ETL Developer Location: Phoenix Area Remote Local to Arizona is a big plus - if not second interview in person and must come to Phoenix to pickup the Laptop.
Part-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Experience with big data tools: Hadoop, Spark, Kafka, etc. Build the infrastructure required to process data from a variety of data sources using SQL. Create data tools for analytics and data scientists to optimize data.
Full-timeExpandUpdated 2 days ago - UpvoteDownvoteShare Job
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Minimum 2 years of experience working with Big Data: Hadoop, Spark, Hive, Impala, etc. Must have experience working with Data Warehouses. Design, implement and maintain production-level data pipelines across various data sources.
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Day to Day: A large financial service company is looking for an a Big Data Engineer II to join their team. This individual's day-to-day work will involve using Java, Scala, SQL, Big Data, Linux, git, and maven/gradle to design and build software solutions that are fast, scalable, and flexible.
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Quickly learn new data tools and ideas. Knowledge of at least one ETL tool (Informatica, SSIS, SSRS, etc.) SSRS/Tableu must be good. A bachelor's degree in computer science, information technology, or a closely related discipline is required.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Working experience of 5 6 years in Hadoop Big Data. Building data ingestion pipeline supporting production jobs monitoring incidents and co ordinating with team. Experience in data ingestion.
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