SQL Database Administrator

Richmond, VA, US • Posted 9 hours ago • Updated 4 hours ago
Full Time
Part Time
On-site
Fitment

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Job Details

Skills

Summary

Duration: Currently, until July 31 but with possibility of extension if needed

ON SITE: 2-3 days a week ON SITE and then as requested by Mgr.

Parking not provided for contractors

*Deadline to submit: by 4 pm est on Wed., 3/18

Role: Database Administrator / Data Engineer - AWS Migration

US- Richmond/VA

ABOUT THE ROLE

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)

1. 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

2. AWS Database Technologies

Strong experience with:

Amazon RDS

DynamoDB

3. Python for Data Processing

Experience developing Python scripts for data creation, transformation, and data loads

4. Data Pipeline Development

Experience building AWS-based data pipelines

Familiarity with services such as:

S3, Glue, Lambda

5. 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


Skill Required / Desired Amount of Experience
On-Prem SQL server to AWS and snowflake source Data Migration experience Required 5 Years
Experience migration/archiving databases from on-premises environments to AWS Required 5 Years
Experience with Schema Conversion Tool (SCT) and AWS Database Migration Service (DMS) or similar tools preferred Required 5 Years
Experience developing Python scripts for data creation, transformation, and data loads Required 5 Years
Experience building AWS-based data pipelines using s3, Glue, Lambda Required 5 Years
Experience supporting application data environments, Experience with PostgreSQL, SQL Server, Dynamo Db Required 5 Years
Hands on experience in using AWS db services including S3, RDS, postgres, DynamoDB, and Snowflake. Required 5 Years
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 Required 5 Years
Familiarity with version control using tools like Github, and AWS Code Pipeline Required 5 Years
5+ years in Database Administration, Data Engineering, or similar role (AWS, Snowflake) and Sql server Required 5 Years


Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91124260
  • Position Id: OOJ - 2722-1723-1773340625
  • Posted 9 hours ago
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