MDM Python (AWS) Data Architect/Engineer
MDM Python (AWS) Data Architect/Engineer
Posted on :
27-06-2025
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1 Vacancy
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Job Description
Position: MDM Python (AWS) Data Architect/Engineer
Location:Charlotte NC ( Remote but some travel to Charlotte NC required )
Duration: 6 months
Visa:gc or citizens
What Youll Need to Have:
Bachelors degree in Computer Science Information Systems Analytics or a related field.
5 years of experience in data architecture engineering or similar roles.
3 years of programming with Python.
3 years in an ETL or Data Engineering role building and implementing data pipelines.
Experience working in a Master Data Management role is IDEAL.
Strong understanding of design best practices for OLTP systems ODS reporting needs and dimensional database practices.
Hands-on experience with AWS Lambda AWS Glue and other AWS services.
Proficient in Python and SQL with the ability to write efficient queries.
Experience with API-driven data access (API development experience a plus).
Solid experience with database technologies (SQL NoSQL) and data modeling.
Understanding of serverless architecture benefits and challenges.
Experience working in agile development environments.
Highly self-motivated detail-oriented and able to work independently.
Strong analytical thinking problem-solving and communication skills.
AWS certifications (e.g. AWS Certified Data Analytics - Specialty AWS Certified Solutions Architect) are highly desirable.
5 years of experience in data architecture engineering or similar roles.
3 years of programming with Python.
3 years in an ETL or Data Engineering role building and implementing data pipelines.
Experience working in a Master Data Management role is IDEAL.
Strong understanding of design best practices for OLTP systems ODS reporting needs and dimensional database practices.
Hands-on experience with AWS Lambda AWS Glue and other AWS services.
Proficient in Python and SQL with the ability to write efficient queries.
Experience with API-driven data access (API development experience a plus).
Solid experience with database technologies (SQL NoSQL) and data modeling.
Understanding of serverless architecture benefits and challenges.
Experience working in agile development environments.
Highly self-motivated detail-oriented and able to work independently.
Strong analytical thinking problem-solving and communication skills.
AWS certifications (e.g. AWS Certified Data Analytics - Specialty AWS Certified Solutions Architect) are highly desirable.
Preferred Skills:
Experience with modern data stack technologies (e.g. dbt Snowflake Databricks).
Familiarity with machine learning pipelines and AI-driven analytics.
Background in DevOps practices and Infrastructure as Code (IaC) using tools like Terraform or AWS CloudFormation.
Knowledge of CI/CD pipelines for data workflows.
Familiarity with machine learning pipelines and AI-driven analytics.
Background in DevOps practices and Infrastructure as Code (IaC) using tools like Terraform or AWS CloudFormation.
Knowledge of CI/CD pipelines for data workflows.
Employment Type
Full Time
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