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Evangelist for data engineering function leveraging big data processing framework Creation and optimization of data engineering pipelines for analytics projects. Must have 6-12 years of experience in Big Data Engineering/Data Analysis.
$157,300 a yearFull-timeExpandApply NowActive JobUpdated Today - 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.
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We are seeking a talented AWS DevOps/MLOps Architect to develop platforms for big data and data science on AWS. As models, apps, and data pipelines are created and operationalized, the bigdata and data science team requires engineers with understanding of cloud native technology to develop, manage, automate, and facilitate the operational capabilities of the big data and data science team.
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Develop big data processing systems using Apache Spark, Airflow, Databricks, AWS and related technologies 2. Job Title: Big Data Engineer - Software Development Engineer IILocation: Vancouver, CanadaDuration: 12+ Months ContractHybrid/Remote: Hybrid, (3 Days a week)The Team owns the ETL pipeline to ingest data to a database which is fundamental to APIs (and hence the companies) to prevent fraudulent transactions and streamline account creation.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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6+ years of experience in data engineering working with big data systems that can process and transform data at scale. Experience developing with data SaaS and BI tooling (Fivetran, Looker, dbt, Databricks, Apache Airflow, etc.
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Possess deep technical expertise in Java programming, Spring Boot microservices, and big data technologies in the AWS cloud environment (Redshift, Athena, etc. Extensive Expertise with Apache NiFi, JAVA and JAVA Spring boot Microservices, AWS, Red Shift, Athena and Big Data technologies.
$62 an hourFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Extensive experience with Azure Databricks, Apache Spark, and Big Data technologies. The ideal candidate will have a deep understanding of the Azure Databricks platform, Big Data technologies, and the broader Azure ecosystem.
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Exposure to big data platforms - Snowflake, Redshift, Azure, Matillion, Hadoop. You have a strong background in data quality management and are experienced with SaaS and/or digital sales metrics.
$262,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Collaborate with cross-functional teams, including Sales, Marketing, Finance, and IT, to develop and implement data-driven strategies that drive sales enablement and productivity. Determine how to leverage data science, machine learning, and other analytical techniques to offer actionable insights both internally & externally.
$262,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience with data warehouse platforms such as Redshift, Databricks, Big Query, Snowflake. 8+ years' experience in engineering data pipelines using big data technologies (Spark, Flink etc.
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Minimum of fifteen years of overall technical experience in solution architecture, design, hands-on development with a focus on big data technologies, multi-cloud platforms, and with at-least ten years of experience specifically in financial services.
$276,100 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Oracle Big Data Appliance / Cloudera Hadoop technical stack, R programming. Big Data/Netezza Integration, comfortable in usage of the Sqoop, Linux Shell scripting, related utilities and the R programming.
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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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As part of the Big Data Support Services , Service Provider will provide 24x7 support of the following State Street database environments: Exadata, Netezza, Oracle databases (DBA), Oracle database appliance (ODA), ZFS, Golden Gate ( Big Data.
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Experience with some of the big data technologies like Apache Spark, Airflow and Databricks. We are seeking to hire an Big Data Developer with strong Java development experience or Scala, Spark, SQL, Apache Airflow or Similar or similar Open Source Platform.
ExpandApply NowActive JobUpdated 7 days ago
big data jobs Title: registered Company: Focus in OR, Germany
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