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This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
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Big Data Engineer. 5+ years of experience in building data engineering solutions utilizing AWS services (S3, Kinesis, Lambda, Glue, SNS) or Data platforms like Databricks/Cloudera.
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Expertise in Cloudera Big Data Technologies, including Cloudera Distribution of Hadoop (CDP), Apache Hadoop, Apache Spark, Apache Hive, Apache Impala, and Apache HBase, with hands-on experience in deploying, configuring, and optimizing these technologies for large-scale data processing and analytics.
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Senior Big Data Platform EngineerThis role has been designated as ‘Remote/Teleworker’, which means you will primarily work from home. Open up opportunities with HPE.Job Description:Senior Big Data Platform EngineerHPE is looking for Big data platform engineers with a strong background in building robust and scalable solutions in data warehousing, ETL, big data/analytics, data science, and cloud platforms based on Hadoop/Cloudera , Data Bricks and other cloud platforms.
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Applicants should also have a demonstrated understanding and experience using software and tools including big data tools like Kafka, Spark; relational SQL databases including Big Query or equivalent; workflow management and pipeline tools such as Airflow, and object function/object-oriented scripting languages including Scala, C.
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As a data engineer, you have experience spanning traditional DW and ETL architectures and big data ecosystems like Databricks / Snowflake / EMR / Airflow. Dropbox is looking for a Data Engineer to join our Finance Data Engineering (FDE) team to build out next generation Financial data pipelines that power crucial business decisions throughout the organization including metrics (ARR, Churn) that are reported externally to Wall St. The team is responsible for curating Gold Datasets (user, team, product etc) that are the source of truth for analytics and operations at Dropbox.
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Implement cutting-edge AI/ML techniques, including Generative AI, to boost the efficiency of the platform and data engineering processes. We are looking for a passionate Principal Engineering to help architect and scale the global data platform systems and services for our new global streaming app, Max, as well as any streaming and non-streaming initiatives within the company.
$175,700 - $326,300 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Reporting to Application Development Manager, the Big Data Software Engineer IV will work on a dedicated team of engineers developing, enhancing, and maintaining Availity's high transactional Provider Data Management platform.
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Big Data Architect IT Consultant Master (ONSITE) The client seeks an experienced IT Consultant to support the design, development, implementation and maintenance of an enterprise Big Data solution as part of the client Data Modernization Effort.
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As a Sr. Big Data Engineer, you will work with a variety of talented teammates and be a driving force in technical initiatives that will accelerate analytics at Client. Were looking to expand our Big Data Engineering team to keep pace.
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Experience with big data technologies such as Snowflake, Hadoop, Spark, Airflow, or Flink. Our engineering team at OpenSea is in search of a strong, driving, but curiousData Engineer to take charge of our data replication, ETL, and warehousing infrastructure to empower our core user experiences, trust & safety models, and business intelligence use cases.
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Internal knowledge of open source or related big data technologies. For Senior Data Engineer (III.
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What you’ll bring to Circle:For Senior Data Engineer (III)4+ years of professional data engineering experience. For Staff Data Engineer (IV)All the requirements of above and:7+ years of professional data engineering experience.
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Cloud Big Data Engineer, Senior - Tech Consulting. At least two years experience in implementing, automating and integrating Big Data infrastructure resources like S3, Redshift, Aurora, Kinesis, Kafka, EMR, Lambda, SNS, Azure Blob Storage Account ,SQL Data Warehouse, Microsoft Event Hubs , HDInsights, Azure Databricks, Azure Functions,Event Grid, Data Lake Analytics in an ephemeral/transient and in an elastic manner.
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Experience with multiple large scale Enterprise Hadoop or Big Data, Data Bricks, Cloudera, HD Insights, or other environments focused on operations, design, capacity planning, cluster set up, security, performance tuning and monitoring.
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big data jobs Title: senior data engineer Company: Kforce Technology
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