About
Location: Richmond, VA
Duration: 3+ Months
**ON SITE: 2-3 days a week ON SITE and then as requested by Mgr**
Job Description:
We are seeking a Database Administrator / Data Engineer with strong experience in migrating on-premises databases to AWS. 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.
Must Have Skills (Screening Required):
On-Prem SQL server to AWS and snowflake source Data Migration experience
Experience migration/archiving databases from on-premises environments to AWS
Experience with AWS Database Migration Service(DMS) or similar tools preferred
AWS Database Technologies
Amazon RDS
DynamoDB
Python for Data Processing
Experience developing Python scripts for data creation, transformation, and data loads
Data Pipeline Development
Experience building AWS-based data pipelines
Familiarity with services such as: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 data migration service (DMS)
Experience working with large datasets and ETL pipelines
Knowledge of data lake architecture
Experience with PostgreSQL, SQL Server, Dynamo Db
Experience supporting application data environments Experience Required
5+ years in Database Administration, Data Engineering, or similar role
3+ years of AWS and Snowflake experience 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
Skills:
On-Prem SQL server to AWS and snowflake source Data Migration experience
Experience migration/archiving databases from on-premises environments to AWS
Experience with Schema Conversion Tool (SCT) and AWS Database Migration Service (DMS) or similar tools preferred
Experience developing Python scripts for data creation, transformation, and data loads
Experience building AWS-based data pipelines using s3, Glue, Lambda
Experience supporting application data environments, Experience with PostgreSQL, SQL Server, Dynamo Db
Hands on experience in using AWS db services including S3, RDS, postgres, DynamoDB, and Snowflake.
Core experience of configure data management practices on AWS using native services such as AWS Glue, AWS Data Zone, AWS Glue Data Catalog,API Gateway
Familiarity with version control using tools like Github, and AWS Code Pipeline
5+ years in Database Administration, Data Engineering, or similar role (AWS, Snowflake) and Sql server
Languages
- English
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