SQL Database Administrator

SQL Database Administrator Richmond, VA Job Details Contract 1 day ago Qualifications Performance dashboard reports Data model design Version control Dashboard development Data transformation pipeline development Data lake Cloud data warehouses Data modeling projects Data migration Implementing cloud migration projects IT system monitoring 3 years Snowflake SQL Data quality management AWS Glue GitHub S3 Data validation DynamoDB Senior level RDS database Python System performance monitoring

AWS Lambda Full Job Description Job Title:

SQL Database Administrator 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 Postgre

SQL, 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 Postgre

SQL, 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