Hadoop Hive ETL Big Data UnixLinux Shell Script Visio Excel Bachelors Degree Develop   Requirement id 118694 Job title Developer Job location in Columbus, OH Skills required SQL Database, Hadoop, Hive, ETL Big Data UnixLinux Shell Script Visi Open Date 20-Aug-2021 Close Date Job type Contract Duration 10 Months Compensation DOE Status requirement --- Job interview type ---    Email Recruiter: coolsoft Job Description Developer: SQL Database, Hadoop, Hive, ETL Big Data UnixLinux Shell Script Visi Description: Our Client in Columbus, Ohio is seeking an experienced Data Warehouse Designer / Developer for a contract role CANDIDATES MUST BE LOCAL TO CENTRAL OHIO OR RELOCATED BY DAY ONE FOR CONSIDERATION The Data Warehouse Designer/Developer will be responsible for Enterprise data warehouse design, development, implementation, migration, maintenance and operation activities. Candidate will work closely with the Data Governance and Analytics team. Candidate will be one of the key technical resources for data warehouse projects for various Enterprise data warehouse projects and building critical data marts, data ingestion to Big Data platform for data analytics and exchange with State and Medicaid partners. This position is a member of Department ITS and works closely with the Business Intelligence & Data Analytics team. Day-To-Day Job Duties to be performed: • Participate in Team activities, Design discussions, Stand up meetings and planning Review with team. • Perform data analysis, data profiling, data quality and data ingestion in various layers using big data/Hadoop/Hive/Impala queries, PySpark programs and UNIX shell scripts. • Follow the organization coding standard document, Create mappings, sessions and workflows as per the mapping specification document. • Perform Gap and impact analysis of ETL and IOP jobs for the new requirement and enhancements. • Create jobs in Hadoop using SQOOP, PYSPARK and Stream Sets to meet the business user needs. • Create mockup data, perform Unit testing and capture the result sets against the jobs developed in lower environment. • Updating the production support Run book, Control M schedule document as per the production release. • Create and update design documents, provide detail description about workflows after every production release. • Continuously monitor the production data loads, fix the issues, update the tracker document with the issues, Identify the performance issues. • Performance tuning long running ETL/ELT jobs by creating partitions, enabling full load and other standard approaches. • Perform Quality assurance check, Reconciliation post data loads and communicate to vendor for receiving fixed data. • Participate in ETL/ELT code review and design re-usable frameworks. • Create Remedy/Service Now tickets to fix production issues, create Support Requests to deploy Database, Hadoop, Hive, Impala, UNIX, ETL/ELT and SAS code to UAT environment. • Create Remedy/Service Now tickets and/or incidents to trigger Control M jobs for FTP and ETL/ELT jobs on ADHOC, daily, weekly, Monthly and quarterly basis as needed. • Model and create STAGE / ODS / Data warehouse Hive and Impala tables as and when needed. • Create Change requests, workplan, Test results, BCAB checklist documents for the code deployment to production environment and perform the code validation post deployment. • Work with Hadoop Admin, ETL and SAS admin teams for code deployments and health checks. • Create re-usable UNIX shell scripts for file archival, file validations and Hadoop workflow looping. • Create re-usable framework for Audit Balance Control to capture Reconciliation, mapping parameters and variables, serves as single point of reference for workflows. • Create PySpark programs to ingest historical and incremental data. • Create SQOOP scripts to ingest historical data from EDW oracle database to Hadoop IOP, created HIVE tables and Impala views creation scripts for Dimension tables. • Participate in meetings to continuously upgrade the functional and technical expertise. REQUIRED Skill Sets: • 8+ years of experience with Big Data, Hadoop on Data Warehousing or Data Integration projects. • Anal   Call 502-379-4456 Ext 100 for more details. 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