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Good knowledge and Proven practical experience in migrating relational data base from on-prem to cloud OR to build cloud-based data lake using either Big Data / Azure Synapse / Databricks / Snowflake.
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We are actively hiring for Big data engineer. Hands-on experience building, testing, and optimizing ‘Big Data’ data ingestion pipelines, architectures and data sets.
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Getting your hands-on modern technologies and big data tools, including Hadoop, Kafka, Cassandra, MongoDB, Hive, HBase, Impala, Sqoop, Flume, Oozie, Zookeeper, Pig, Cloud Computing, Spark, Scala.
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10- 12 years of experience in building solutions using Databricks on Azure or on Big Data, SQL Data, and other sources. 1-2 Migration project level experience from Hadoop ecosystem to Azure Databricks & related DBs along with data integration job migration.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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As a Big Data Administrator, you will be responsible for managing our Big Data infrastructure and tools within the Cloudera ecosystem. Administer and manage cloud-native Big Data technologies and container orchestration systems, with a focus on Kubernetes (Openshift or equivalent.
Full-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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The client Corporation is currently seeking an experienced Big Data Engineer Thesuccessful candidate must have Big Data engineering experience and must demonstrate an affinity forworking with others to create successful solutions.
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Were looking for an experienced Data Engineer to join our growing team focused on building, supporting and enhancing the Oracle Hardware Divisions (OHD) big data and analytics platform.
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The successful Software Engineer candidate will be part of the KBR team supporting the Test Resource Management Center’s (TRMC) Big Data (BD) and Knowledge Management (KM) Team working on prototype BD and KM systems for DoD test ranges and various acquisition programs.
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Strong project experience in Big Data, Cloudera Distribution. experience in Big Data, Cloudera Distribution 7. Data Hadoop Engineer. experience building data pipelines using Hadoop components Sqoop, Hive, Solr.
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Experience with big data technologies (Hadoop, Hive, Presto, Pig, Spark, etc.) The Data Engineer will get to work with data at scale. Specifically this role will lead and contribute towards building aspects of centralized event driven data streaming platform and services focused on LSE(Large Scale Events) prevention and mitigation, data center operations, and hardware quality management for Oracle Cloud Infrastructure (OCI.
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We provide self service tools to enable data discovery, data processing, data mining and research, reporting, and machine learning/AI, all built using OCI services and industry standard open source distributed computing tools.
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Knowledge & experience in data streaming technologies such as Apache Kafka, Flink etc. This includes ingesting and processing large data volumes of hardware telemetry from every machine in our Cloud data centers, both in batch and near-real time.
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Job Title: Big Data Engineer. You should be comfortable working in a fast-paced environment and can help build APIs, Calculators, on new cutting edge cloud and big data technologies such as AWS EMR, EC2, Scala Spark, Scala, Snowflake.
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Support the development and evolution of our Data Platform. Collaborate with cross-functional teams, engineers, and program/product management on building optimized and forward looking data tools, insights and reporting mechanisms that drive the business forward.
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We are looking for engineers who are creative, passionate about data and its application in building solutions, and are excited to work at scale to solve customer problems. Build robust, highly available, performant, scalable and reliable data services.
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big data jobs Title: senior data engineer Company: Eliassen Group
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