Agency: Medicaid
Job Title/Classification: Technical Specialist 3/ TS3
NFP Rate: 66.16
Will Close to Submissions on: Friday Jan. 22@ 1:00 pm EST- 2 DAY CLOSING
Interviews: MS TEAMS
Duration: end of fiscal year
Position location: Must be local to Columbus to be considered
Right To Represent Must Be Included on Submission
Take note of close date on submissions- Withdrawn candidates will not be permitted to be replaced.
The Technical Specialist will be responsible for Medicaid Enterprise data warehouse testing, data migration, data validation and production data analysis activities. The candidate will closely work with Data Governance and Analytics team. Will be one of the key technical resource 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 data exchange with State and Medicaid partners/vendors. This position is a member of Medicaid ITS and works closely with the Business Intelligence & Data Analytics team.
Responsibilities:
• Participate in Team activities, Design discussions, stand ups, sprint planning and execution meetings with team.
• Perform data analysis, data profiling and data quality assessment in various layers using big data/Hadoop/Hive/Impala and Oracle SQL queries.
• Analyze users stories/Use Cases/Requirements for validity, feasibility and prepare test scenarios and test cases.
• Follow the organization documentation standards, create testing plan, test cases, test scenarios and test results documents after the testing is complete.
• Execute tests on software usability, data correctness and data validation.
• Analyze test results on database impacts, data correction, errors or bugs, and usability.
• Communicate, prioritize, track test execution, defects and issues appropriately and recommend corrective action whenever required.
• Create mockup test data, data load planning, perform Unit testing and capture the test results for the ETL/ELT jobs developed in lower environments.
• Perform Quality assurance check, data reconciliation post data loads and communicate to vendors/business consumers on data quality.
• Preparing reports on all aspects related to the software testing carried out and data quality.
• Participating in design reviews and providing input on requirements, product design, effort estimation and any potential problems.
• Collaborate with the Development/Business teams to understand the requirements and develop/manage the test scenarios/testcases.
• Work with other team members to do functional test, regression test, UAT test and data comparison test for all the new features and data loaded.
• Create framework and scripts to automate testing process, wherever possible.
• Create Remedy/Service Now tickets to log defects and fix production issues, create Support Requests to deploy Database, Hadoop, Hive, Impala, UNIX, ETL/ELT and SAS code to UAT environment.
• Status consolidation and sharing weekly updates with leadership.
• Participate in meetings to continuously upgrade the functional and technical expertise.
Detailed Day-To-Day Job Duties to be performed:
Responsibilities:
• 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.
• Analysis, Design, development, support and Enhancements of ETL/ELT in data warehouse environment with Cloudera Bigdata Technologies (with a minimum of 6-7 years’ experience Hadoop, MapReduce, Sqoop, PySpark, Spark, HDFS, Hive, Impala, StreamSets, Kudu, Oozie, Hue, Kafka, Yarn, Python, Flume, Zookeeper, Sentry, Cloudera Navigator) along with Oracle SQL/PL-SQL, Unix commands and shell scripting;
• Strong development experience (minimum of 6-7 years) in creating Sqoop scripts, PySpark programs, HDFS commands, HDFS file formats (Parquet, Avro, ORC etc.), StreamSets pipeline creation, jobs scheduling, hive/impala queries, Unix commands, scripting and shell scripting etc.
• Writing Hadoop/Hive/Impala scripts for gathering stats on table post data loads.
• Strong SQL experience (with a minimum of 6-7 years’ experience in Oracle and Hadoop (Hive/Impala etc.)).
• Writing complex SQL queries and performed tuning based on the Hadoop/Hive/Impala explain plan results.
• Proven ability to write high quality code.
• Experience building data sets and familiarity with PHI and PII data.
• Expertise implementing complex ETL/ELT logic.
• Develop and enforce strong reconciliation process.
• Accountable for ETL/ELT design documentation.
• Good knowledge of Big Data, Hadoop, Hive, Impala database, data security and dimensional model design.
• Basic knowledge of UNIX/LINUX shell scripting.
• Utilize ETL/ELT standards and practices towards establishing and following centralized metadata repository.
• Good experience in working with Visio, Excel, PowerPoint, Word, etc.
• Effective communication, presentation, & organizational skills.
• Familiar with Project Management methodologies like Waterfall and Agile
• Ability to establish priorities & follow through on projects, paying close attention to detail with minimal supervision.
• Required Education: BS/BA degree or combination of education & experience
DESIRED Skill Sets:
• Demonstrate effective leadership, analytical and problem-solving skills
• Required excellent written and oral communication skills with technical and business teams.
• Ability to work independently, as well as part of a team
• Stay abreast of current technologies in area of IT assigned
• Establish facts and draw valid conclusions
• Recognize patterns and opportunities for improvement throughout the entire organization
• Ability to discern critical from minor problems and innovate new solutions
