Database Administrator / Data Engineer - AWS MigrationMBI • Richmond, Virginia, United States
Database Administrator / Data Engineer - AWS Migration
MBI
- Richmond, Virginia, United States
- Richmond, Virginia, United States
Über
The candidate will support data platform modernization by assisting with database migration, Python-based data processing, and building AWS data pipelines supporting applications using Amazon RDS and DynamoDB.
Responsible for supporting SQL Server/Cloud BAU operations. Supports production stability and performance monitoring by building operational metrics and dashboards for database performance.
Develop data quality and performance dashboards to monitor system efficiency and ensure reliable data for reporting and analytics.
The role requires hands-on experience in database migration, data modeling, and AWS data services.
Responsibilities
Support migration of on-prem databases to AWS
Develop Python scripts for data generation and bulk loads
Build and maintain AWS-based data pipelines
Design and support data models
Support application teams using RDS and DynamoDB
Assist with data validation, migration testing, and performance tuning
Experience & Requirements Experience Required
5+ years in Database Administration, Data Engineering, or similar role
3+ years of AWS and Snowflake experience
Must Have Skills (Screening Required)
On-Prem SQL Server to AWS and Snowflake source Data Migration experience
Experience migrating/archiving databases from on-premises environments to AWS
Experience with AWS Database Migration Service (DMS) or similar tools
AWS Database Technologies
Amazon RDS
DynamoDB
Python for Data Processing
Experience developing Python scripts for data creation, transformation, and data loads
Experience building AWS-based data pipelines
Familiarity with S3, Glue, Lambda
Data Modeling – experience designing logical and physical data models
Ability to support application teams with schema design
Preferred Skills
Experience with AWS Schema Conversion Tool (SCT) and AWS DMS
Experience working with large datasets and ETL pipelines
Knowledge of data lake architecture
Experience with PostgreSQL, SQL Server, DynamoDB
Hands-on experience using AWS db services including S3, RDS, PostgreSQL, DynamoDB, and Snowflake
Core experience in configuring data management practices on AWS using native services such as AWS Glue, AWS Data Catalog, API Gateway
Familiarity with version control using tools like GitHub and AWS CodePipeline
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Sprachkenntnisse
- English
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