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You have hands on experience with data visualization and reporting tools such as Tableau, R Shiny, and/or Looker. You will be responsible for building out a holistic view of seller risk performance, identifying potential risks and supporting controls by leveraging analytics insights and tools (i.e., SQL/Hive/Hadoop/Cloud, Adobe Analytics, VisualIQ, Tableau/ThoughtSpot/Looker, etc.
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Hands on experience in MapR, Cloudera, Hortonworks and/or cloud (AWS EMR, Azure HDInsights, Qubole etc.) Knowledge and Hands-on Experience in Data Quality and Data Governance.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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5+ years of hands-on experience with data platforms (Hadoop, Hive, Presto, Spark and Snowflake ) and with data visualization (Tableau) technologies. Hands-on experience in principled data warehouse design, data visualization and data pipeline design and development.
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C#, Python, Bash)Automated testing tools (Selenium, TestComplete)Hands-on experience with AWS services - building, deploying, and monitoring using AWS tools and services such as AWS CodePipeline, AWS CloudWatch, AWS CloudFormation, and AWS X-RayThorough understanding of APIs, gateways, orchestrators, databases, networking, monitoring, configuration management and security best practices for a production environmentExperience programming and scripting on UNIX / Linux.
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Expert and Hands-On development in distributed computing environment using Hadoop, Scala, Spark and Apache Airflow. Evaluate new technology and advise on our data lake ecosystem.
$142,800 - $195,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands-on experience working with technology like queueing systems (Kafka, RabbitMQ, ActiveMQ, MSMQ), Spark, Hadoop, NoSQL (Cassandra, MongoDB), Play framework, Akka library. Data platforms like SQL, Cassandra or Hadoop.
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Hands-on experience training, fine tuning, and/or deploying LLMs. Strong knowledge of Torch, Tensorflow, embeddings, and Relus Experience developing in Kotlin or a background in consumer finance is a huge plus.
$176,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Strong background in data engineering, with hands-on experience in designing, building, and optimizing data systems infrastructure. Proficiency in programming languages such as Python, Java, or Scala, and experience with data processing frameworks such as Apache Spark, Apache Flink, or Apache Beam. Experience with distributed computing technologies and concepts, including Hadoop, MapReduce, and distributed file systems (e.g., HDFS.
$140,000 - $210,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You'll have the opportunity to gain hands-on experience on all kinds of systems in the data platform ecosystem. Experience in Big Data stack(Hadoop, M/R, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, Flink etc.
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Hands on experience in using Hadoop distribution like Cloudera / HortonWorks / MapR. Hands on experience with scripting - shell scripting, python, etc. Hands on experience in in Hive / Spark / Impala / Sqoop.
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They thrive in a startup environment and feel best working in a small, cross-functional team where you can roll up your sleeves and be hands-on. Skills required Architectures Data lakes Hadoop Node.
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Hands-on and implementation centric DataOps expertise across several Azure tools and servicesProven experience as a data engineer or similar role, with a focus on cloud-based data engineering and ETL processes.
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Hands on design and development experience in multiple Data Warehousing, Data Lake and analytics Platforms: Microsoft data and analytics platform (Azure Data Factory, Microsoft SQL Server, Azure SQL Database, Azure SQL Managed Instance, Azure Cosmos DB, Azure Synapse Analytics, Azure Databricks, etc.
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Extensive background in Broker Dealer, Custodian, and other "Wealth Management" data processingExperience with enterprise data architecture, strategic planning, and hands-on implementation management of initiatives in broker dealer firms, with further experience with conversions, mergers, data architecture & storage, industry data governance & operations, and data analytics & monetizationJob Responsibilities.
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Supports end users and lead junior teammates on code-related questions and issues. Determine where in our infrastructure we should house our data based on the use case and data model. Expertise and Hand-On working knowledge of AWS.
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