51 to 75 of 133 Permanent Hadoop Jobs

programming language, ideally Python but can also be Java or C/c++ SQL expeirence Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau) Get in touch with Ella Alcott - Ella@engagewithus.com more »

e.g., PostgreSQL), NoSQL databases (e.g., MongoDB), and implement data streaming solutions (e.g., Kafka) for efficient data handling. Work with big data technologies such as Hadoop to manage and analyse large datasets. Qualifications : Bachelor’s degree in computer science, Engineering, or related field (or equivalent experience). Experience with cloud more »

PostgreSQL), NoSQL databases (e.g., M MongoDB), and implement data streaming solutions (e.g., Kafka) for efficient data handling. - Work with big data technologies such as Hadoop to manage and analyse large datasets. Qualifications: - Bachelor's Degree in Computer Science or Engineering. - Experience with cloud technologies, particularly Azure and AWS. - Proficiency more »

AWS Programming languages: * Java * Python * node.js * SQL Data technologies: * Relational databases (e.g. PostgreSQL) * NoSQL databases (e.g. MongoDB) * Data streaming (e.g. kafka) * Big data (e.g. Hadoop) Cyber security * Vulnerability management (e.g. tenable) * IDAM (e.g Azure AD, Keycloak) * Static and Dynamic Analysis (e.g. SonarQube) Architectural styles * Microservices * Serverless * On premise virtualization more »

phases of projects through prototyping, architectural design and delivery. You will be working with Azure tools such as Databricks, Data Factory as well as Hadoop to create big data environments which, in turn, will help businesses to gain greater insight into their big data repositories. RESPONSIBILITIES Working on projects more »

and requirements generation 5+ years of DoD Information Technology Experience Desired Skills: Experience and support of nextgen platforms and big data technologies such as Hadoop, Flume, Solr, HBase, Impala, Kafka, Spark, etc Experience working with Special Access Programs. Experience working at the OSD, Joint Staff or Service Staff level. more »

IaaS, DaaS, IaaC); Experienced with wide range of hardware and software development environments, including Microsoft, JAVA, J2EE, SOA, WS - (SOAP/REST/MICSROSERVICES), HADOOP ecosystem, Linux, RDBMS, NOSQL, ECOMMERCE, MOBILE, AWS, Docker (Swarm, Kubernetes), Elastic Search, MongoDB, Redis master/slave/sentinel, CI/CD pipeline using more »

in log management tools to troubleshoot issues as well as identify useful analytics data. Preferred Experience in Microsoft Azure services and Databricks Spark, Redshift, Hadoop Map-Reduce or other Big Data frameworks Code management tools (Git, Sbt, Maven) Pyspark, Scala or other functional programming languages Analytics tools such as more »

/CD. Strong design and coding skills (e.g. Python, Scala, JavaScript). Experience with Microsoft or AWS data stack e.g. Microsoft Azure Data Lake, Hadoop (preferably with Spark), Cosmos DB, HDInsight/HBase, MongoDB, Redis, Azure Table/Blob stores etc. Exposure to tools like SAP technologies and Alteryx more »

in computer science, Mathematics, Statistics or similar engineering discipline. Working knowledge of Linux. Knowledge of network protocols and operation. Data analysis and visualization in Hadoop, Splunk. Data manipulation using tools like MapReduce or SQL. Experience with network security products and solutions. HTML, CSS and JavaScript experience. Python. Ifyou are more »

and analytical abilities. Preferred Skills: Experience with cloud databases (e.g., AWS, Azure, Google Cloud Platform). Knowledge of big data tools and frameworks (e.g., Hadoop, Spark). Certification in database management (e.g., Microsoft Certified: Azure Data Engineer Associate). What We Offer: Competitive salary and comprehensive benefits package. Opportunity more »

on experience with analytic tools like R & Python; & visualization tools like Tableau & Power BI Exposure to cloud platforms and big data systems such as Hadoop HDFS, and Hive is a plus Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes Graduate more »

and NoSQL databases • Programming languages such as Spark or Python • Amazon Web Services, Microsoft Azure or Google Cloud and distributed processing technologies such as Hadoop Benefits : • Base Salary: £45,000 - £75,000 (DoE) • Discretionary Bonus: Circa 10% per annum • DV Bonus: Circa £5,000 • Flex Fund: £5000 • Health: Private more »

experience Demostrate In-depth knowledge of large-scale data platforms (Databricks, Snowflake) and cloud-native tools (Azure Synapse, RedShift) Experience of analytics technologies (Spark, Hadoop, Kafka) Have familiarity with Data Lakehouse architecture, SQL Server, DataOps, and data lineage concepts Demonstrate In-depth knowledge of large-scale data platforms (Databricks more »

as AWS Redshift, Snowflake, Databricks or similar. Proven expertise in migrating large on-prem Data Warehousing solutions to the public cloud. Strong knowledge in Hadoop eco system components such as YARN, MapReduce, HDFS, HBase, Zookeeper, Hive. Experience interacting with vendor support to ensure open issues are resolved within defined more »

as AWS Redshift, Snowflake, Databricks or similar. Proven expertise in migrating large on-prem Data Warehousing solutions to the public cloud. Strong knowledge in Hadoop eco system components such as YARN, MapReduce, HDFS, HBase, Zookeeper, Hive. Experience interacting with vendor support to ensure open issues are resolved within defined more »

as AWS Redshift, Snowflake, Databricks or similar. Proven expertise in migrating large on-prem Data Warehousing solutions to the public cloud. Strong knowledge in Hadoop eco system components such as YARN, MapReduce, HDFS, HBase, Zookeeper, Hive. Experience interacting with vendor support to ensure open issues are resolved within defined more »

as AWS Redshift, Snowflake, Databricks or similar. Proven expertise in migrating large on-prem Data Warehousing solutions to the public cloud. Strong knowledge in Hadoop eco system components such as YARN, MapReduce, HDFS, HBase, Zookeeper, Hive. Experience interacting with vendor support to ensure open issues are resolved within defined more »

as AWS Redshift, Snowflake, Databricks or similar. Proven expertise in migrating large on-prem Data Warehousing solutions to the public cloud. Strong knowledge in Hadoop eco system components such as YARN, MapReduce, HDFS, HBase, Zookeeper, Hive. Experience interacting with vendor support to ensure open issues are resolved within defined more »

as AWS Redshift, Snowflake, Databricks or similar. Proven expertise in migrating large on-prem Data Warehousing solutions to the public cloud. Strong knowledge in Hadoop eco system components such as YARN, MapReduce, HDFS, HBase, Zookeeper, Hive. Experience interacting with vendor support to ensure open issues are resolved within defined more »

as AWS Redshift, Snowflake, Databricks or similar. Proven expertise in migrating large on-prem Data Warehousing solutions to the public cloud. Strong knowledge in Hadoop eco system components such as YARN, MapReduce, HDFS, HBase, Zookeeper, Hive. Experience interacting with vendor support to ensure open issues are resolved within defined more »

as AWS Redshift, Snowflake, Databricks or similar. Proven expertise in migrating large on-prem Data Warehousing solutions to the public cloud. Strong knowledge in Hadoop eco system components such as YARN, MapReduce, HDFS, HBase, Zookeeper, Hive. Experience interacting with vendor support to ensure open issues are resolved within defined more »

as AWS Redshift, Snowflake, Databricks or similar. Proven expertise in migrating large on-prem Data Warehousing solutions to the public cloud. Strong knowledge in Hadoop eco system components such as YARN, MapReduce, HDFS, HBase, Zookeeper, Hive. Experience interacting with vendor support to ensure open issues are resolved within defined more »

as AWS Redshift, Snowflake, Databricks or similar. Proven expertise in migrating large on-prem Data Warehousing solutions to the public cloud. Strong knowledge in Hadoop eco system components such as YARN, MapReduce, HDFS, HBase, Zookeeper, Hive. Experience interacting with vendor support to ensure open issues are resolved within defined more »

as AWS Redshift, Snowflake, Databricks or similar. Proven expertise in migrating large on-prem Data Warehousing solutions to the public cloud. Strong knowledge in Hadoop eco system components such as YARN, MapReduce, HDFS, HBase, Zookeeper, Hive. Experience interacting with vendor support to ensure open issues are resolved within defined more »