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You will work closely with cross-functional teams to design, implement, and optimize data processing and analytics systems utilizing Hadoop, Spark, and other big data technologies.
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Must have strong hands-on experience on data processing tasks using Spark/Python for cleansing and curating to populate analytical models. · Strong Data transformation/ETL skills using Spark, Python, PySpark, HiveQL.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Must have 5-8 years of Data Engineering experience in a Big Data environment. · Familiarity with data models and business processes in Talent & Learning modules of Oracle Fusion Cloud.
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Experience in managing Engineering teams in open-source stack including Apache Cassandra, Spark, and Elastic Search, is desired. Solugenix is assisting a client, a financial services company, in their search for a Product Owner (Risk/Data.
$65 an hourExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience with big data technologies such as: Hadoop, Hive, Spark, EMR. As an Amazon Data Engineer, you will solve unique and complex problems at a rapid pace, utilizing the latest technologies to create solutions that are highly scalable.
$205,600 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Hands-on experience in Big Data technologies (Spark, Hive, MapReduce and Hbase) Bonus skills: Machine learning/data mining and Object-oriented design and coding. Strong programming knowledge in SQL, Pyspark, Data processing.
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Proficiency in tools and programming languages related to data engineering (e.g. Hadoop, Spark, Scala, Python) At least 2 years of experience in designing and creating data processing systems.
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Strong experience with big data technologies (e.g., Hadoop, Spark, Kafka, HBase, Hive, etc. The Big Data Developer will be responsible for data engineering, ETL processes, big data management, data warehousing, and software development tasks.
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Experience with: Tableau, Business Objects, Salesforce, Google Analytics, SQL Server, Hive, Spark, SQL, and data architecture tools such as HDFS, Aerospike, ElasticSearch, Kafka. Develop and maintain the roadmap for a key pillar of the CDO Organization data roadmap; scope and prioritize activities based on business and user impact which defines product enhancements for both short-term and long-term.
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Microsoft Teams; Slake; BigQuery; Databricks; Spark; Data Fusion; Dataflow; Data. Prep; Stackdriver; Splunk; Tidal; Data Catalog; Unity Catalog; Snowflake; Jenkins; into projects; implement data integration strategies by overseeing ETL (Extract.
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Knowledge of Big Data architectures and tools (e.g., Hadoop, Spark, Cloudera, AWS stack) Assist in developing a comprehensive Corporate Data Strategy, including leveraging ETL, data warehousing, data marts, and enterprise analytics.
Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Should be having good hands on working knowledge on spark framework, spark sql, spark streaming and spark performance tuning. - Should have deep understanding of big data systems.
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Create Scala/Spark jobs for data transformation and aggregation. Develop and maintain data platforms using Python, Spark, and PySpark. Proficiency in Python, Scala (with a focus on functional programming), and Spark.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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1 year of experience with Big Data tools, including Apache, Hadoop, Hive, and Spark distributed framework. As we embark on the journey to move to public cloud - GCP you will be part of a fast-paced Agile team, design, develop, test, troubleshoot & optimize solutions created to simplify access to the Amex’s Big Data Platform.
$150,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Hands-on programming experience in Apache Spark using SparkSQL and Spark Streaming or Apache Storm. Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics.
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