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Required Skills: Platform Engineering: Proficiency in Python, Scala, or SQL. Expertise in Apache Spark, Hadoop, or Apache Kafka. Develop & implement cloud automation and orchestration using tools auch as Azure resource manager, Azure DevOps etc.
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DevOps, Cloud, Java, Spring boot, Kubernetes, Docker, SOLR, Elasticsearch, RabbitMQ, Kibana, Grafana, Hadoop, Hive, Pig, JSON, HDFS. DevOps, Cloud, Java, Spring boot, Kubernetes, Docker, SOLR, Elasticsearch, RabbitMQ, Kibana, Grafana, Hadoop, Hive, Pig, JSON, HDFS.
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Experience with some of the DevOps standard tools such as docker, Cloudera, Hadoop, terraform, Jenkins, git, consul, Vault, etc. As a Site Reliability Engineer, you'll be part of the Cloud DevOps team and report to the Cloud Operations manager.
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Hands on experience to setup the infra in Hadoop clusters, On premise to cloud migration etc. This is a hands-on DevOps Lead with focus on delivering results on-time, in-full to the expected quality levels.
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Experience with Git and/or Azure DevOps. Working knowledge of data visualization approaches (i. Knowledge of Big Data technologies (i.e. Hadoop, Spark, Hive, Pig, Sqoop, Flume, Oozie). Experience with Git and/or Azure DevOps. Working knowledge of data visualization approaches (i.
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Demonstrated experience in Azure and Azure DevOps, Hadoop and Cloudera. Demonstrated experience in Azure and Azure DevOps, Hadoop and Cloudera. Experience with SQL Server and ETL development using SSIS (Microsoft BizTalk or equivalent technologies.
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Deep understanding of Agile methodologies and tools like Azure DevOps. Big Data Technologies: Familiarity with big data platforms and technologies such as Hadoop, Spark, and distributed computing.
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Should have one of the following certifications or be willing to obtain within six (6) months of start: Cloudera Certified Professional (CCP) Data Engineer, Elastic Certified Observability Engineer, Certified Kubernetes Application Developer (CKAD), AWS Certified Developer - Associate, AWS DevOps Engineer Professional, AWS Certified Solutions Architect- Associate.
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Professional experience with Java/Scala based analytics platforms (Hadoop, Spark, Hive, Trino, etc. Platform Engineer ( Strong in Python programming with Devops knowledge) - 2 positions(Sunnyvale CA or Austin TX.
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The Data DevOps Engineer will focus on processing engine development as well as design, development, automation and optimization of its usage in each data platforms across the group. Strong background in Hadoop, Spark, Python, Java.
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Experience with full Software Development Life Cycle (SDLC) including DevOps using Bitbucket/Git, Jenkins, SonarQube etc. 5+ years of software design and development experience using Python, PySpark/Hadoop, Pandas, NumPy, SciPy, Jupyter notebook etc.
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Design, develop, and maintain high volume Java or Scala based data processing jobs using industry standard tools and frameworks in the Hadoop ecosystem, such as Spark, Kafka, Hive, Impala, Avro, Flume, Oozie, and Sqoop.
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A Senior Data Engineer will use his or her hands-on expertise in Spark/Hadoop, Scala programming, Linux scripting, AWS, DevOps and API technologies to expand and optimize architecture, data flows, infrastructure, APIs and data pipelines to support the Epsilon PeopleCloud Discovery Platform.
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Relevant industry experience is important (Site Reliability Engineer (SRE), Systems Engineer, Software Engineer, DevOps Engineer, Network Engineer, Systems Administrator, Linux Administrator, Database Administrator or similar role), but ultimately less so than your demonstrated abilities and attitude.
$105,000 - $168,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data Architect with 15+ years of experience, specializing in Azure Databricks, Azure Data Factory (ADF), Cluster configurations, Azure Data services, Azure DevOps, Azure SQL, SSIS, Azure DW, Azure Analysis Services (Cube), Data Lake Storage, Blob Storage, Cosmos DB.
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