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Big Data Architecture, Cloud Data Platforms Architecture (Azure, Databricks, Snowflake), In-house Big Data Platforms (Hadoop, Teradata, Exadata) This role will collaborate with the GRM Data Stewards, Data Users, Data Owners, Technology Teams to understand and assess their data, processes, and technology to remediate data architecture deficiencies, and drive data strategy.
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Experience with the Big Data stack (HDFS, SPARK, MapReduce, Hadoop, Sqoop, Pig, Hive, Hbase, Flume, Kafka) as well as with the No-SQL (e.g. MongoDB, HBase, Cassandra) As a Data Engineering & Analytics practice lead you will be responsible for growth, business development and providing advisory and thought leadership on the provision of analytics environments leveraging Cloud based platforms, big data technologies, including integration with existing data and analytics platforms and tools.
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Our main technology stack currently includes Redshift, Spark, AWS Glue, Databricks, dbt, Airflow, Looker, and Jupyter Notebooks. Experience with dbt or similar analytics workflow tools a big plus.
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Data Governance, Lineage and Quality (Collibra, Solidatus, Informatica, Alation, Snowflake, Ab Initio, One Trust, or Big ID). Data Analyst, Technology Consulting - Data & Analytics (Data Governance & Controls) – Financial Services Office (Manager) (Multiple Positions) , Ernst & Young U.S. LLP, Tysons (McLean), VA.
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Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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Strong Knowledge in Big Data Technologies, Databricks, AWS Services, PySpark, thorough in one or more programming language like Python. We are seeking a highly experienced Senior Data Engineer with a deep understanding of PySpark using Databricks or AWS Glue or AWS EMR and cloud-based databases such as Snowflake.
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Experience with designing and maintaining data warehouses and/or data lakes with big data technologies such as Spark/Databricks, or distributed databases, like Redshift and Snowflake, and experience with housing,accessing, and transforming data in a variety of relational databases.
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Position Overview: The Director of Data, Assessment and Educational Technology (Ed. Tech) owns the data and assessment strategy and systems at DCI, in partnership with the CAO, principals and other Education Leaders.
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Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (eg Parquet, Avro, Protocol Buffers.
$180,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Big data technologies such as Apache Hadoop, Apache Spark, or Apache Kafka. Microsoft Azure Cloud platform familiarity with Azure Data Lake Storage, Azure Databricks, Azure Data Factory, and Azure DevOps.
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Big Data Technologies: Distributed Computing: Tools like Apache Spark, Hadoop. Big Data Storage: Technologies such as HDFS, Apache Cassandra, or cloud storage solutions. Software Engineering & DevOps: Version Control: Familiarity with tools like Git. Continuous Integration/Continuous Deployment: Knowledge of pipelines and tools like Jenkins, Travis CI. Containerization: Familiarity with Docker, Kubernetes, etc., for scalable deployment of data science applications.
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At least 2 years of hands-on experience with Azure, databricks and Hadoop distributed frameworks while handling large amount of big data using Spark and Hadoop Ecosystems. Strong understanding of databases and big data software technologies, specifically Azure and Databricks.
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Strengthen the Data engineering team with Big Data solutions running on Azure. Strengthen the Data engineering team with Big Data solutions. Collaborate with business, technology and architecture teams across the Bank to design and develop next generation data platforms using traditional DB technologies, open source frameworks and cloud services.
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Our tenant is a strong cross-domain team to deliver E2E solutions covering tech areas ranging from machine learning, big data, microservices to data visualization. 3+ years of big data development experience with technical stacks like Spark, Flink, Singlestore, Kafka, Nifi and AWS big data technologies.
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Fluent in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Internal knowledge of open source or related big data technologies. Circle is a financial technology company at the epicenter of the emerging internet of money, where value can finally travel like other digital data — globally, nearly instantly and less expensively than legacy settlement systems.
$120,000 - $162,500 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago
big data technology jobs Title: data engineer Company: Cedent Consulting Inc
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