Engineer (DevOps/ Cloud Engineer) With solution AWS certification

Trobus technology
Parkville, MD
Nov 23, 2020
Nov 29, 2020
Engineer, IT, QA Engineer
Full Time
Title- Engineer (DevOps/ Cloud Engineer) With solution AWS certification Location- Remote (DMV) area Duration: Right to Hire Only USC, GC, GC-EAD Top requirement: financial, Payment method, Groovy, Scripting, SQL (Healthcare or Insurance), Compensation, Incentive Responsibilities would include: Working with business analysts to understand any changes needed. Updating system configuration to meet a new business requirement. Validating that changes are working as expected. Triaging production issues and determining how to update the system to operate correctly. What does the ideal candidate background look like (ex: healthcare specific background, etc.)? Insurance and specifically healthcare experience is a plus, but not mandatory. Technical proficiency in SQL, scripting, testing are more important Must have skills would be: Expert analytical skills for understanding new problems or existing functionality General database skills for researching items, or making appropriate changes to scripting or SQL scripts. General programming/scripting knowledge to understand how to read and write groovy scripting. Ability to research issues in depth and understand where changes are required. Ability to learn complex software framework used for ICM Nice to have would be: 1) Experience with commission payment system 2) Experience with groovy scripting in particular 3) Experience with Agile/Rally 4) Experience with testing automation tools Job Requirements: Troubleshoot and debug any hadoop ecosystem Assess the quality of datasets for a hadoop data lake Troubleshoot and debug any hadoop ecosystem run time issues Develop efficient pig and hive scripts with joins on datasets using various techniques Execute in the design/development of data ingestion and data transformation for big data applications Tuning Hadoop jobs (hive, pig) Move data from one cluster Troubleshoot issues with hive, Hbase Execute in the design/development of data ingestion and data transformation for big data applications Enabling the next generation customer analytical platform using big data technologies Lead the design and implementation of sustainable tools & processes to support the big data ecosystem Support the big data ecosystem Make sure that all the big data applications are Troubleshoot technical and performance issues in the big data ecosystem Expect that from a big payments company Creating big data and analytics solutions for Digital channel Perform data profiling on big data distributed computing environments, relational databases and XML Help architect and build a big data platform used for analytics Assist in data analysis and data modeling Leading the implementation and support of leading-edge, data warehouse / big data environments

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