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Big Data(Spark, Scala) We have Contract for Big data/ ETL Engineer f or our client Philadelphia, PA. Please let me know if you or any of your friends would be interested in this position.
ExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Data Modeling: Requires knowledge of cloud data strategy, data warehouse, data lake, and enterprise big data platforms; Data modeling techniques and tools (For example, Dimensional design and scalability), Entity Relationship diagrams, Erwin, etc; Query languages SQL / NoSQL; Data flows through the different systems; Tools supporting automated data loads; Artificial Intelligent - enabled metadata management tools and techniques.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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With rapid expansion into new geographies, innovations in supply chain, unique delivery models for products ranging from Amazon Fresh groceries, ultra-fast Prime Now deliveries of big-screen TV’s, increasingly complex transportation network, and growing number of shipments worldwide, we see a massive opportunity to fundamentally change the way people get the stuff they need, and make a big impact by cutting billions of dollars of transportation costs from the ecosystem.
$94,600 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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From our flagship website and five-star mobile apps to developing products, managing big data and providing leading edge engineering and systems support, our teams at NIKE Global Technology exist to revolutionize the future at the confluence of tech and sport.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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You should be comfortable working in a fast-paced environment and can help build APIs, Calculators, on new cutting edge cloud and big data technologies such as AWS EMR, EC2, Scala Spark, Scala, Snowflake.
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Big Data Technologies: Familiarity with big data tools like Amazon EMR, Athena, and Glue for processing large datasets. · AWS Services: Strong knowledge of AWS services, especially those related to data, such as S3, RDS, Redshift, Athena, EMR, Sagemaker, and Glue.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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2+ years with Big Data Hadoop cluster (HDFS, Yarn, Hive, MapReduce frameworks), Spark, AWS EMR. Skilled in AWS Analytics such as Athena, EMR, or Glue. Familiarity with Hadoop / Spark information architecture, Data Modeling, Machine Learning (ML.
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Understanding of Big Data Technologies, Cloudera, Spark. Experience with AWS Cloud and its services like EC2, Athena, Lambda, S3, SQS and Cloud Formation. Experience with AWS Cloud and its services like EC2, Athena, Lambda, S3, SQS and Cloud Formation.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Experience with data processing technologies and tools, such as Spark, Hadoop(HDFS, Hive, MapReduce), Athena, Airflow, Luigi. Build big data processing pipelines using Spark and Airflow.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Big data and distributed systems (Spark, Databricks, Athena) Data & Storage – S3, Athena, PostgreSQL, Elasticsearch/OpenSearch, Dynamo, Redshift, MongoDB. Applying big data solutions to national security problems [ Link.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Big data: Redshift, Bigquery, Presto, Athena, ElasticSearch etc. Contribute to technical designs and work with Operations teams to implement and support solutions to the data challenges we face in the music industry.
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You will be tasked with optimizing backend components using industry standard technology for big data processing. Understanding of big data analytical processing, including concepts like data lake and data warehousing.
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O Experience with Big Data such as Amazon Athena, Amazon Redshift, BigQuery, Mapr and/or other open source technologies such as Hive, Spark & Presto. o Experience with Big Data such as Amazon Athena, Amazon Redshift, BigQuery, Mapr and/or other open source technologies such as Hive, Spark & Presto.
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Experience in cloud data eco-system, specifically with AWS. Experience in AWS data components like S3, Redshift & RDS, managed services like Aurora & Athena are desirable. Big data – Hadoop eco-system, Distributions like Cloudera / Hortonworks, Pig and HIVE.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Comfortability with data warehouses and big data technologies such as Redshift, Snowflake, Big Query, Presto, Athena, Spark, DBT. The ideal candidate will be adept in navigating the data stack and able to support initiatives in all facets from analytics/data engineering and product analytics to machine learning.
ExpandApply NowActive JobUpdated 8 days ago
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