PLOY ASIA PTE. LTD.
What7s on offer
Job Type: Contract Duration: 12 months (highly renewable) Job Summary
We are seeking a Big Data / Systems Engineer with experience in implementing and supporting large-scale MLS systems, including environment setup, capacity planning, and production support. In addition, he/she must be skilled in Hadoop, NoSQL, Spark, and DevOps tools, with strong scripting and SQL expertise to optimize system performance and support cross-functional teams. Key Responsibilities
Participate in system implementation of MLS system Collaborate with Architects, Security and Development Lead on solution design Liaise with application teams across groups/countries on the enhancement builds Setup Servers, Databases, Middleware, deployment pipelines Manage Environment and capacity planning Ensure recommended software improvements are optimized Support Production issues on root cause analysis and resolution Liaise with other application teams and business users for SIT/UAT Manage project change request approval windows and deployment schedule Required Qualifications
Experience in Hadoop ecosystem and technologies Experience in NoSQL database or Big Data Experience in Git, Jenkins, JIRA Experience in SharePoint and Confluence Experience / knowledge in Unix Shell Scripting, Oracle, Java and Python, Spark Moderate SQL skills are required
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Job Type: Contract Duration: 12 months (highly renewable) Job Summary
We are seeking a Big Data / Systems Engineer with experience in implementing and supporting large-scale MLS systems, including environment setup, capacity planning, and production support. In addition, he/she must be skilled in Hadoop, NoSQL, Spark, and DevOps tools, with strong scripting and SQL expertise to optimize system performance and support cross-functional teams. Key Responsibilities
Participate in system implementation of MLS system Collaborate with Architects, Security and Development Lead on solution design Liaise with application teams across groups/countries on the enhancement builds Setup Servers, Databases, Middleware, deployment pipelines Manage Environment and capacity planning Ensure recommended software improvements are optimized Support Production issues on root cause analysis and resolution Liaise with other application teams and business users for SIT/UAT Manage project change request approval windows and deployment schedule Required Qualifications
Experience in Hadoop ecosystem and technologies Experience in NoSQL database or Big Data Experience in Git, Jenkins, JIRA Experience in SharePoint and Confluence Experience / knowledge in Unix Shell Scripting, Oracle, Java and Python, Spark Moderate SQL skills are required
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