Data Migration Specialist
Data Migration Specialist
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5years
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
- Transform and load data into the respective data warehouse for a modernization initiative.
- Transform data to meet target system requirements
- Translate functional requirements into technical specifications for ETL development.
- Troubleshoot and resolve data migration issues
- Validate and analyze data sets to ensure data consistency and internal requirements are met.
- Analyze DBDHS Legacy data data quality rules business rules data dictionaries
- Analyze prepare and execute data cleansing services.
- Analyze specify and document data migration requirements with clients and internal teams.
- Articulate how Legacy data will be cleansed and adapted to fit into the new future solution.
- Assist others with the selection of approaches methods and / or services as required.
- Attend Project standups and Stakeholder meetings
- Champion standards and implementation process that you define with the team.
- Collaborate with data architects to design data migration solutions
- Collaborate with the IMS Business customers and the DBHDS EDW Team ensuring quicker and more accurate data management.
- Complete assigned tasks organized to ensure project deadlines.
- Develop and execute data migration process and procedures (from analysis to post implementation) including scripts and programs
- Develop and execute test plans to ensure client requirements are fulfilled.
- Contribute to the release and cutover strategy.
- Coordinate with stakeholders to gather requirements and system assessments as it related to data.
- Create and maintain utilities SQL scripts as needed to accelerate the process.
- Ensure adherence to compliance needs for the agency.
- Implement new Mapping and ETL scripts.
- Lead data cleaning and dedupe program to drive accurate and complete data.
- Maintain appropriate levels of data security and privacy relating to customer data.
- Ensure documentation is created and maintained to enable migration process and post implementation support.
- Create and Monitor data migration progress and build dashboards to support audit reconciliation and verification
- Perform regular backups to ensure data preservation.
- Propose a data migration and reconciliation strategy.
- Represent DBHDS IT and the Data cleansing/migration initiative at meetups with DBHDS internal and external partners
- Retrieve data from the database or electronic files as requested.
- Validate postmigration results and communicate outcome with Key DBHDS Central Office Leadership and Business Stakeholders Key External DBHDS Reporting Stakeholders CO Security VITA and DBHDS IT.
- Verify data by comparing it to source documents.
- Write validation scripts to run over the Staging tables to report any invalid data.
- Proficiency in data extraction and transformation tools
- Strong SQL querying and scripting skills
- Knowledge of and Experience with ELT/ETL processes
- Familiarity with data modeling and database design principles
- Understanding of data warehousing concepts and practices
- Experience with data migration in largescale enterprise environments
- Understanding of data synchronization and replication techniques
- Strong analytical and problemsolving abilities
- Critical thinking and decisionmaking skills
- Ability to handle multiple tasks and prioritize effectively
- Expertise in AWS
- Expertise in Snowflake
Proficiency in data extraction and transformation tools Strong SQL querying and scripting skills Knowledge of, and Experience with ELT/ETL processes Familiarity with data modeling and database design principles Understanding of data warehousing concepts and practices Experience with data migration in large-scale enterprise environments Understanding of data synchronization and replication techniques Strong analytical and problem-solving abilities Critical thinking and decision-making skills Ability to handle multiple tasks and prioritize effectively Expertise in AWS Expertise in Snowflake
Education
Bachelor s degree from a four-year college or university preferred and 5+ years experience with technology or data organizations required. An equivalent combination of education and experience may also be considered.
Employment Type
Full Time
