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Title : Big Data Engineer. Responsible for the administration, configuration, and optimization of the Databricks platform to enable data analytics, machine learning, and data engineering activities within the organization.
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As a big data engineer at Booz Allen, you’ll implement data engineering activities on some of the most mission-driven projects in the industry. We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions—from fraud detection to cancer research to national intelligence.
$73,100 - $166,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Job Title- Big Data Engineer. Skill - Big Data, Spark, SQL, parkStreaming-Kafka-Python / Scala / Java. Experience in Big Data technologies including Spark, Scala and Kafka.
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Experience working with large datasets and big data technologies, preferably cloud-based, such as Snowflake, Databricks, or similar. The Data Engineering team is looking to fill a Senior Data Engineer responsible for designing and implementing ETL/ELT data pipelines, designing and implementing database schema/tables/views, and building batch processes leveraging Airflowfor several projects.
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Experience with Big Data Technologies (NoSQL databases, Hadoop, Hive, Hbase, Pig, Spark, Elasticsearch, Databricks, etc.) Experience with a breadth of Data Integration tools, Databases, Big Data Platforms, Cloud-based data platforms and Data Streaming technologies, Cloud Azure and GCP platforms.
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Big-D Construction, a National General Contractor of award-winning projects built by exceptional people, has a Preconstruction Manager on our Mission Critical team located in Salt Lake City, UT.
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Du setzt Objektorientiertes Python für skalierbare Big-Data-Pipelines, ETL, Web-APIs und Microservices ein und nutzt Big-Data- oder Cloud-Integrationstechnologien wie Databricks, Azure Data Factory etc.
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As an AWS Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines on AWS cloud infrastructure. Implement data processing and transformation workflows using Databricks, Apache Spark, and SQL to support analytics and reporting requirements.
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Software Development Manager (SQL / Big Data) - REMOTE. Software Development Manager (SQL / Big Data) Strong technical background and hands-on experience with SQL Server databases (modernization / migration) and Big Data is required.
$118,625 - $139,560 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Minimum 2 years of experience in development using Data warehousing, Big Data Eco System Hive (Hql) & Oozie Scheduler, ETL IBM Data Stage, Informatica IICS with Teradata 1 Year experience of deploying google cloud services using Terraform.
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Knowledge of networking principles and protocolsUnderstanding of application monitoring using Google StackdriverBasic idea of Big Data on GCP BigQuery, Dataproc, Data lake and Dataflow services.
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Familiarity with Databricks for big data processing. Development and integration of DevOps related tool chain across Operations and Development organizations like TFS, Azure DevOps Service, ARM Templates, Visual Studio, GitHub and Data protection & privacy knowledge.
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We are seeking a skilled and motivated DevOps Engineer with expertise in Big Data tools and experience working with either AWS (Amazon Web Services) or GCP (Google Cloud Platform.
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Demonstrated understanding of enterprise data warehouse, big data, BI & analytics, content management and data management. Facilitate the establishment and execution of the roadmap and vision for information delivery and management; including the enterprise data warehouse, big data, BI & analytics, content management and data management.
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The solutions developed draw on IT-RI’s strong capabilities in statistical modeling, machine learning, natural language processing, information retrieval, statistical genomics, data mining, and big data management and analytics.
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big data jobs Title: devops engineer Company: Tiger Analytics
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