Data Conversion Specialist 8124-0816

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 life-cycle 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 to-be 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 problem-solving 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**: 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**: 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**: Implement data validation, cleansing, and transformation protocols to ensure that data is accurate, consistent, and accessible post-migration. **(20%)**
- 3+ years of experience in data migration, conversion, or ETL processes.
- Hands-on experience with AWS Connect, Databricks or other data platform, and data transformation techniques.
- ** Data Transformation Tools**: Expertise in ETL tools and data engineering processes.
- ** Programming Languages**: Proficiency in Python and SQL; experience with Scala is a plus.
- ** AWS Services**: 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.
- Hands-on experience with AWS Connect, Databricks or other data platform, and data transformation techniques.
- ** Data Transformation Tools**: Expertise in ETL tools and data engineering processes.
- ** Programming Languages**: Proficiency in Python and SQL; experience with Scala is a plus.
- ** AWS Services**: working knowledge of AWS Connect, Amazon S3, AWS Lambda, and AWS Glue.