Data Conversion Specialist 8124-0816
Data Conversion Specialist 8124-0816
Posted on :
06-11-2024
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Job Description
HM Note: This hybrid role is three (3) days in office
Responsibilities:
Oversees all facilities of the conversion process.
Completes mapping interfaces mock conversion work enhancements actual conversion and verifies completeness and accuracy of converted data.
Establish a strong working relationship with all clients interact effectively with all levels of client personnel and provide conversion support.
Analyzes and coordinates data file conversions.
Works with importing files from heterogeneous platforms.
General Skills:
Full lifecycle data conversion experience with Enterprise Resource Planning (ERP) Systems including deployment experience
Proficiency in query languages
Familiarity with and construction of complex query statements
Knowledge of various database structures
Data analysis investigative and logic skills
Experience with data conversion scripts and tools
Experience with overseeing /completing all tasks involved in the conversion process including data extraction cleansing transformation and loading
Experience liaising with teams to understand tobe migration requirements.
Establish a strong working relationship with all groups interact effectively with all levels of client personnel and provide conversion support.
Experience completing mapping interfaces conversion work documentation and verifying completeness and accuracy of converted data.
Experience delivering the required system changes and/or working with the development team or a dedicated conversion team to specify loads programs.
Experience providing support through the cutover process
A team player with a track record for meeting deadlines managing competing priorities and client relationship management experience
Communication facilitation negotiation consensus building and problemsolving skills
Desirable Skills:
Knowledge and experience in business case development
Knowledge and understanding of Information Management principles concepts policies and practices
Excellent understanding of master data and transactional data concepts and interdependencies
Skills
Experience and Skill Set Requirements
The Senior Data Conversion Specialist will be responsible for:
- Overseeing all facilities of the conversion process.
- Completing mapping interfaces mock conversion work enhancements actual conversion and verifies completeness and accuracy of converted data.
- Establishing a strong working relationship with all clients interact effectively with all levels of client personnel and provide conversion support.
- Analyzes and coordinates data file conversions.
- Works with translating and moving contact center data from existing cloud technology platforms to data exchange platform.
Skillet:
Data Extraction and Transformation: and nbsp;Design and execute data extraction processes to gather data from AWS Connect ensuring that all relevant contact center data is accurately transferred. (25%)
ETL Process Development: and nbsp;Create and manage ETL pipelines for the efficient transfer of large data sets from AWS Connect to Databricks optimizing for performance and scalability. (25%)
Data Quality and Validation: and nbsp;Implement data validation cleansing and transformation protocols to ensure that data is accurate consistent and accessible postmigration. (20%)
Ideal Candidate:
- 3 years of experience in data migration conversion or ETL processes.
- Handson experience with AWS Connect Databricks or other data platform and data transformation techniques.
- Data Transformation Tools: and nbsp;Expertise in ETL tools and data engineering processes.
- Programming Languages: and nbsp;Proficiency in Python and SQL; experience with Scala is a plus.
- AWS Services: and nbsp;working knowledge of AWS Connect Amazon S3 AWS Lambda and AWS Glue.
Must Haves:
- 3 years of experience in data migration conversion or ETL processes.
- Handson experience with AWS Connect Databricks or other data platform and data transformation techniques.
- Data Transformation Tools: and nbsp;Expertise in ETL tools and data engineering processes.
- Programming Languages: and nbsp;Proficiency in Python and SQL; experience with Scala is a plus.
- AWS Services: and nbsp;working knowledge of AWS Connect Amazon S3 AWS Lambda and AWS Glue.
Employment Type
Full Time
Key Skills
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