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Minimum of 8 years of related experience Bachelor's degree or equivalent experience Talents Needed for Success: Extensive experience with Automation using Terraform Strong knowledge of operating systems (Unix / Linux) Hands on experience with Shell and Python scripting (added advantage) to automate tasks enabling self-healing capabilities.
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Hands-on experience with Google cloud Technologies like Bigquery, Cloud Storage and Cloud native ETL processing tools. Extensively worked on Teradat/Oralce/Hadoop as database using Ab Initio as ETL tool for large scale data integration.
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Hands-on experience with containerization technologies and tools: OpenShift, Pivotal Cloud Foundry, Kubernetes, Docker. Hands-on experience with architecture, implementation and operation of a Linux-based compute environment.
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Experience LOG Monitoring and Analysis Splunk, ELK (Elasticsearch, LOG stash and Kibana) ¿ Hands on experience in CHEF and Jenkins. Tier 2 ¿ Production support Skill Category Level 1 Telecom Skill Category Level 2 NGN Platforms &Portals Experience in Linux, Shell Scripting, OpenStack and DevOps tools (Jenkins, Chef, Ansible), Shell scripting, Any monitoring tools like Nagios, splunk, introscope.
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Hands-on experience on ETL Tools in Talend Data Studio. Fair knowledge on scripting languages such as Shell Scripts, PowerShell, Perl, Python etc. Hands-on experience in design and implementation of Data Warehousing solutions.
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Hands on experience with ETL tools (Informatica Datahub/IDQ, Talend ) Hands on experience in Unix, Linux, Windows, SQL/PLSQL. Scripting languages (Bash, Python, Ruby, Shell, Perl, JavaScript.
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Extensive hands-on experience and strong understanding of Kubernetes environments, preferably on AWS Cloud. Backend, Java, Scala, Python, distributed systems, Flink, Spark, Iceberg, Delta, Kafka, Parquet, Kubernetes, AWS, EKS, EC2, S3, VPC, NLB, Ingress, automation, monitoring, Shell.
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Hands-on experience with Snowflake utilities such as SnowSQL, SnowPipe, Python/Java, Tasks, Streams, Time travel, Optimizer, Metadata Manager, data sharing, and stored procedures. Hands on development experience : Kafka, Spark Streaming is must 3+ years of hands-on Development experience in Big Data Solutions.
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Perform hands-on development (Python, SQL, Shell, JavaScript, React). Perform application support, on-call responsibilities, and actively engage in hands-on problem solving.
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Extensive knowledge on Hadoop eco-system such as HDFS, Yarn, HIVE and SPARK. Excellent Shell, Python programming skills for automation requirement for repetitive dev-ops tasks Understanding of security tools like Kerberos and Ranger.
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3+ years hands-on experience with CI / CD practices and tools like Jenkins, SonarQube or Azure DevOps Services. 5+ years of scripting and automation experience with tools such as Shell, Bash, PowerShell, Chef or Ansible.
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Design and execution of PCBA and electrical system components with hands on testing and rework as necessary. Experience with hands-on electrical engineering work. Python, Matlab, PERL or SHELL. Experience in LabVIEW is a plus.
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Demonstrate a proficiency in the Python programming language Experience with Data application development and version control systems such as Git. Hands on experience with AWS cloud technologies like EC2, VPC, CloudWatch, CloudFormation, IAM, S3, RDS, ElasticCache, SNS, SQS and SWF At least 3 years of experience with PL/SQL, SQL, Oracle 11g and 12c, XML, XSLT, Linux (CentOS, Red Hat), shell scripting, and Windows.
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Anduril provides fully paid medical leave, paid company holidays, and Paid Time Off. A professional development stipend is available to all Andurilians, and all on-site meals fully subsidized during the work week with gourmet kitchens.
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3-5 years of hands-on experience with Networking and NAS technologies/protocols. 3-5 years of hands-on experience with Windows and Linux Server installation, configuration, operation, and customization.
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