Negotiable
Undetermined
Undetermined
London Area, United Kingdom
Summary: The Cloud Data Modernization - Data Mapper role in London involves analyzing, transforming, and mapping data from legacy systems to a new LIMS system within an AWS environment. The position requires strong analytical and technical skills, particularly in AWS, to ensure secure and efficient data transfer. Collaboration with data engineers, scientists, and business stakeholders is essential to understand data requirements and quality. The role demands a focus on data profiling, mapping, and cleansing procedures tailored for AWS.
Key Responsibilities:
- Collaborate with data engineers, data scientists, & business stakeholders to understand data sources, data quality, & data transformation requirements.
- Perform data profiling & data quality assessments on legacy data, identifying data issues, inconsistencies & gaps.
- Develop & maintain data mapping, transformation rules, & data cleansing procedures tailored for the AWS environment.
Key Skills:
- AWS Services Proficiency.
- Cloud Architecture.
- Data Migration Tools.
- Infrastructure as Code (IaC).
- Security and Compliance (AWS-specific).
- Monitoring and Logging (AWS-specific).
- Networking (AWS-specific).
- Automation and Orchestration (AWS-specific).
Salary (Rate): undetermined
City: London
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Cloud Data Modernization - Data Mapper
Location: London, UK
Contract Must have 5 years UK Residency
Project Description: The Data Analyst / Data Mapper, operating within the AWS environment, is responsible for analyzing, transforming, & mapping data from legacy systems to the new LIMS system. This role demands strong analytical, technical, & AWS proficiency skills to ensure accurate, efficient, & secure data transfer..
Key Responsibilities:
- Collaborate with data engineers, data scientists, & business stakeholders to understand data sources, data quality, & data transformation requirements.
- Perform data profiling & data quality assessments on legacy data, identifying data issues, inconsistencies & gaps.
- Develop & maintain data mapping, transformation rules, & data cleansing procedures tailored for the AWS environment.
Required skills:
- AWS Services Proficiency.
- Cloud Architecture.
- Data Migration Tools.
- Infrastructure as Code (IaC).
- Security and Compliance (AWS-specific).
- Monitoring and Logging (AWS-specific).
- Networking (AWS-specific).
- Automation and Orchestration (AWS-specific)