Enterprise Data Warehouse/Healthcare Data Integration Engineer - Onsite

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Job Title:

Client: State of Ohio

Interview: In Person

Start Date:08/25/25

End Date:06/30/26

Location: In Person, Columbus, OH

Description:

MCD Technical Specialist 3
On site, 5 days a week

Ohio Department of Medicaid,

50 W. Town Street, Columbus, Ohio 43215

Work Hours M-F 8:00AM to 5:00PM EST

Interview via Teams
Technical Specialist 3 (TS3)

The Technical Specialist will be responsible for Medicaid Enterprise Data Warehouse design, development, implementation, migration, maintenance, and operation activities. Works closely with Data Governance and Analytics team. Will be one of the key technical resources for data warehouse projects for various Enterprise Data Warehouse projects and building critical DataMart s, data ingestion to Big Data platform for data analytics and exchange with State and Medicaid partners. 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 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 7 or more years experience in 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 7 or more 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 (minimum of 7 or more years experience) for gathering stats on table post data loads.
• Strong SQL experience (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 buildingdatasets and familiarity with PHI and PIIdata.
• 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 and organizational skills.
• Familiar with Project Management methodologies like Waterfall and Agile
• Ability to establish priorities and 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.