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Experience with SQL. Experience with Big Data technologies in Azure such as Spark, Hive, Sqoop, Databricks or any other equivalent components. REMOTE - AZURE Big Data Engineer.
Full-timeRemoteExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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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.
ExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Nice to have:B.S., M.S., or PhD in a related fieldPublications at conferencesExpertise with either big data infrastructure (e.g. Hadoop/Spark/Flink/Kafka/Airflow/Presto) or with using big data technologies for data processing, ETL, reporting.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Big Data Technologies: Strong knowledge of big data technologies and frameworks, such as Apache Hadoop, Apache Spark, Apache Kafka, Apache Hive, or Apache Flink. Understanding of big data technologies such as Hadoop, Spark, and related ecosystem components (e.g., HDFS, Hive, Pig.
ExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Data Warehousing: Familiarity with data warehousing concepts and technologies, like Azure Synapse, Amazon Redshift, Google BigQuery, or Snowflake. Familiarity with cloud-based data platforms (e.g., AWS Redshift, Google BigQuery, Azure SQL Data Warehouse) and related services.
ExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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The DC Office of the CTO seeks an experienced IT Consultant to support the design, development, implementation and maintenance of an enterprise Big Data solution as part of the OCTO Data Modernization Effort.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Als Senior Big Data Engineer arbeitest Du in mehreren Teams mit u.a. Data Engineers, -Architects und -Scientists zusammen, um hochmoderne Data Analytics-Plattformen aufzubauen und zu betreiben.
ExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Proficiency in big data processing, including Apache Spark or Databricks. Proficiency in building and optimizing big data and real time pipelines, datasets, and architectures in cloud environments, preferably Azure using services such as Event Hubs or Kafka.
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Diplômé·e d’études supérieures dans le système d’information, computer sciences, big data (école d’ingénieurs, école spécialisée ou équivalent universitaire), vous justifiez d’au moins 5 ans en Data engineering.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Job Title: Sr. Big Data Developer. Job Description : 8+ years of extensive IT experience with multinational clients working in diverse fields of software development lifecycle with experience in Big Data/Hadoop Ecosystem.
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Skills: azure data factory (adf),azure data engineering,python,big data technologies,databricks,azure,pyspark,sql. The ideal candidate will be proficient in tools and technologies like Pyspark, Azure Data Factory (ADF), Databricks, big data technologies, SQL, and Python.
$50,000 - $70,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Short Description : 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.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Experience with modern data platforms (Azure Synapse, Databricks, Redshift, Big Query, Snowflake). Utilize programming languages like Java, Pyspark, Python and Open Source RDBMS and NoSQL databases, and Cloud-based data warehousing services such as Redshift and Snowflake.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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The candidate should have expertise in data modeling, SQL, Python, R, data warehousing, big data technologies, data pipeline construction, data quality, cleansing, version control, cloud services, machine learning, feature engineering, deep learning, and natural language processing.
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As a data architect, you will focus on the big picture of an organization’s data strategy. We are open to proficiency in a variety of technologies: SQL, Bash, Python, Java, Presto, Spark, AWS, DataOps, DevSecOps, data streaming like Kafka, RabbitMQ, data stacks like Airflow, Databricks, dbt, and data stores like Cassandra, Aurora, ZooKeeper.
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big data jobs Title: data administrator Company: Indeed
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