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We are an Artificial Intelligence (AI) focused product engineering company , providing our customers in healthcare, retail & e-commerce, manufacturing, and hospitality sectors with cutting-edge products & solutions, harnessing Big Data Analytics, Vision Analytics, and IoT.
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Comfortable working with multi-TB cloud data warehouses (Snowflake*, Big Query, Redshift) Our current analytics toolkit consists of DOMO and dbt running on top of a Snowflake data warehouse.
$120,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience developing ETL pipelines and analyzing large data sets from multiple data sources; SQL, Python, R; Tableau; Large-scale Spark, Data Warehouse, or Big Data implementation; and Java, Python, Hive, or Cassandra.
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We are looking for an accomplished Data Engineer with big data processing experience to join our Agile development team in building products to support Merkle’s people-based marketing vision using the latest data and cloud technologies.
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Familiarity with cloud-based data warehousing platforms (e.g., Amazon Redshift, Google Big Query, Snowflake). We are seeking a skilled and experienced Data Warehouse Architect/Engineer to join our team.
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Experience with big data technologies like Apache Spark or Flink, as well as cloud data platforms; experience building applications using generative AI, a plus. 5+ years of experience in data science with a strong focus on machine learning and deep learning in a commercial setting; startup experience, a plus.
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The ideal candidate will have a proven track record in selling data services and product engineering solutions to startup and midsize companies. Proven experience in IT services sales, specifically in data services and product engineering.
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