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Experience with Spark, SQL, Tableau, Google Analytics, BigQuery (or any other Big data/Cloud equivalent) etc. Experience with Spark, SQL, Tableau, Google Analytics, BigQuery (or any other Big data/Cloud equivalent) etc.
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Familiarity with SQL and big data tooling (E.g Apache Spark ecosystem) Have architectural skills dealing with data modeling and infrastructure solutions, such as classical data warehousing and big data architectures.
Full-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Insightful experience with big data technologies like Hadoop, real-time processing frameworks (e.g., Apache Spark), and advanced knowledge of SQL and data architecture. For example, reconciliation using Big Data technologies, growing and optimizing customer payments options, tax calculations in milli-second response times and a mesh of supplier payment options like virtual credit cards.
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Have experience with both proprietary and open-source big data technologies and platforms (Snowflake, Vertica, Hive, Spark, Presto, Airflow). An expert developer using SQL and SQL-like query languages on Snowflake, Databricks and AWS Data capabilities.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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One year of experience in Big data technologies such as BigQuery, Hadoop, SQL, Hive, GCP/Azure, Java, REST (nice to have) One year of experience in Big data technologies such as BigQuery, Hadoop, SQL, Hive, GCP/Azure, Java, REST (nice to have.
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Looking for Big Data Engineer profiles who is strong and having good hands-on experience in Spark/PySpark, Scala/Python and SQL. Title: Big Data Engineer (PySpark, SQL and Scala/Python.
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Develop components and enhancements to our software, utilizing some or all the following: Java, Spring Framework, Javascript, ReactJS, AngularJS, Elasticsearch, MongoDB, SQL, and Oracle PL/SQL.
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Strong hands-on experience on SQL, Hibernate with any RDBMS like Big Query, Oracle, MySQL etc. Our client is seeking a senior NodeJS developer for a long term hybrid contract position. Strong hands-on experience on SQL, Hibernate with any RDBMS like Big Query, Oracle, MySQL etc.
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Experiences with building microservices. Work in agile environment with sprint-based work cycles. Collaborate with cross-functional teams to design, develop, and implement efficient and scalable Node.js back-end services.
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Experience With Netsuite, Looker, Big Query, And SQL Preferred. Our partners include Amazon, UPS, USPS, eBay, BigCommerce, Shopify, WooCommerce, and Walmart. Be the in-house Subject Matter Expert (SME) for Anaplan, staying up to date with latest features and championing best practices in model building and support for our financial models.
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The data platform team is a collaborative team that develops a managed solutions for a full range of data stores and data technologies, spanning from big data, through NoSQL, cache-layer capabilities, and analytics; all the way to structured SQL engines (similar to Amazon RDS approach.
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