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The big data engineer should be able to develop prototypes and proof of concepts for the selected solutions. A data solution engineer generally works on implementing complex big data projects with a focus on collecting, parsing, managing, analyzing, and visualizing large sets of data to turn information into insights using multiple platforms.
$158,000Full-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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It is changing the way Healthcare Marketing is done by leveraging latest cloud-native solutions, efficient big data pipelines, processes and technologies. We are looking for a driven and dynamic Senior Data Engineer who will have the responsibility to expand and maintain our data warehouse, develop scalable data products, and help orchestrate terabytes of data flowing through the Lasso platform.
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Proven experience as a Big Data Engineer with a focus on large-scale data processing. We're looking for a self-motivated, highly driven Big Data Engineer to bolster our Data Platform teams.
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Evaluate big data technologies and prototype solutions to improve our data processing architecture. Tackle challenging problems such as implementing SOA and Kubernetes at scale and overhauling our data tier on GCP and beyond.
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3+ years of experience in a Data Engineering or Software Engineering role, with a focus on building data pipelines, or applications powered by big data. Build and refine Stripe's data foundations - infrastructure, pipelines, and tools to enable Growth, Sales, and Marketing teams at Stripe - working with Scala, Spark, and Airflow.
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Proficiency in big data technologies such as Hadoop, Yarn, Spark, Presto/ Trino, Hive, and AWS EMR. Design and build the next generation big data compute platform to empower data ETL, analytics and machine learning at Airbnb.
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Summary: Datametic a, an Onix Company,is looking for a Lead Data Engineer for its Cloud and Big Data projects in the Data Warehousing, Data Analytics domain. Work extensively within the Cloud ecosystem and migrate data from Teradata/Netezza/ similar on-Premise Big Data platforms to Cloud based platforms like Big Query, SQL.
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Experience with Complex Data Parsing (Big Data Parser) and Natural Language Processing (NLP) Transforms on Azure a plus. Experience with Complex Data Parsing (Big Data Parser) a must.
$158,000 a yearFull-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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If you'd like to become a backend expert who can unify data, and build systems that scale for both operations and organization, then Fathom is your next big opportunity! We are looking for a Software Engineer (Backend/Data) to work on data products that drive the core of our business.
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Title: Big Data Engineer. Data stores: S3, HDFS, Mongo DB, Oracle. Tools in Development: Spark/Databricks. Strong Language: Scala/Python/SQL. Title: Big Data Engineer. Implementation Partner: Infosys.
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Technical/Functional Skills Scala Spark, Python, Big Data, Kafka, AWS, Oracle SQL, Hive SQL, Databricks, and Jenkins, Job Title: Sr Data Engineer. Hands-on architecture of real time REST APIs or other solutions for streaming data from Graph using Spark.
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Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality. Interpret data, analyze results using statistical techniques and provide ongoing reports.
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That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life.
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Experience with big data technologies (Spark, Clickhouse, Redshift, Snowflake etc.) As a senior data engineer, you bring your previous industry experience in infrastructure scaling to Jerry and lead the development of a new infrastructure solution that will continue to perform with great stability and efficiency even when the company grows 10x bigger.
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We are looking for candidates from junior to senior level with interests, experience and willingness to learn around Big Data technologies, such as distributed event-stores (Kafka) and parallel computing frameworks (Spark.
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big data jobs Title: data engineer in Philadelphia, Arundel, Maine
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