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You will bringStrong hands-on Linux/Unix, Cloud Native (cn), CaaS platforms (RedHat, Wind River, VMware, etc.) You will bringStrong hands-on Linux/Unix, Cloud Native (cn), CaaS platforms (RedHat, Wind River, VMware, etc.
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Understand Hadoop, Spark, Python and other Eco Systems like Impala, Hive, Oozie, Pig etc., Autosys and UNIX Shell Scripting. 3+ years of experience in running, using and troubleshooting the ETL Cloudera Hadoop Ecosystem i.e. Hadoop FS, Hive, Impala, Spark, Kafka, Hue, Oozie, Yarn, Sqoop, Flume.
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Responsible for handling escalated incidents and High Availability environment incident Management on UNIX Platform [LINUX & Solaris]. Role: Senior Unix/Linux Engineer. Experience and troubleshooting with all flavors of the Unix/Linux operating system.
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From large scale mass communication projects to highly secure and confidential data analytics using Big Data frameworks like Hadoop and AWS Redshift, ODS has a broad set of proven technical capabilities that help companies make complex digital transformations.
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Including OpenStack/OpenShift, cloud & IP Networking technologies; (2) Experience with 3GPP systems, including 4G/5G virtualized RAN or Packet core networks architecture, developing C&I, software upgrade MOPs for new nodes in the commercial networks; (3) Experience in script automation using command-line tools, SQL, Unix, Linux, Python, and shell scripts; and (4) Experience in optimization and performance improvement for the wireless RAN or Packet core technologies.
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Experience interacting with various database and file storage systems (DB2, IDMS, Oracle, Hadoop, NoSQL), data manipulation language (i.e. SQL), and/or data visualization tools (i.e. Tableau, Power BI.
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Application security, including segregation of duties and least privileged access Technology infrastructure security, including mainframe, UNIX/LINUX, Windows, SQL Server and Oracle database Systems development, project management and change management IT infrastructure design, management and operations Business continuity and technology resiliency including high availability and disaster recovery architecture Integration of business process controls with supporting technologies.
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Desired skills: Agile Scrum, Jira, Bitbucket, Jenkins, Splunk, Kafka, Hadoop, Reports, Selenium, Microservices and APIs, Deployment automation, unit test automation, CI/CD tools. Desired skills: Agile Scrum, Jira, Bitbucket, Jenkins, Splunk, Kafka, Hadoop, Reports, Selenium, Microservices and APIs, Deployment automation, unit test automation, CI/CD tools.
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Understanding in the following platform products and features within z/Series CICS: CICS Transaction Server, CICS Plex System Manager(CPSM, WUI) , VSAM RLS, CICS Webservices(CWS, Sockets, IPIC, TCPIP), CICS Security(Keyring, Certificates, TLS, resource access, ACF2, RACF), USS (Unix Systems Services), CICS connectivity (LU6.2, MRO, ISC, CWS, Sockets, TCPIP, EXCI.
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Develop and maintain customizations to our commercial treasury management system known as Wallstreet Suite 7.4 using Java, SQL (Oracle), Python, and Unix (basic navigation, administration, and shell scripting.
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Configure and Support our SWIFT infrastructure using knowledge of Unix (basic navigation, administration, and shell scripting). UNIX or Solaris system administration. The Toyota Financial Services (TFS) Treasury Systems team is looking for a passionate and highly-motivated Software Engineer - Backend.
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Proficiency in data engineering tools and technologies such as SQL, Python, Spark, Hadoop, Airflow, Apache Kafka and Presto. Proficiency in data engineering tools and technologies such as SQL, Python, Spark, Hadoop, Airflow, Apache Kafka and Presto.
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Experience with Hadoop ecosystem technology stacks as HDFS, HBase, Hive, Pig, Spark, MapReduce, Cloudera etc. Experienced in developing large scale enterprise applications using Big Data open-source solutions such as Hadoop, Spark, Kafka, and Elastic Search.
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Data wrangling and data munging: Integrating and transforming disparate data sources using Hadoop, Netezza, SQL Server, SAS Libraries, MySQL, Snowflake, Hive and Bigdata; Exploratory Data Analysis (EDA) using Programming Languages: SQL, Python, SAS, Excel, ArcGIS, HiveQL, PySpark and Snowflake Query Language.
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Integrate Python, AWS services (such as S3 and EMR), Redshift, Snowflake, Hadoop, Hive, Spring, Hibernate, Cassandra, Kafka, and ETL processes into Spark applications. Advanced - Python, AWS, Redshift, Snowflake,Hadoop, Hive, Spring, Hibernate, Cassandra, Kafka, ETL.
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