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Über
Location: Richmond, VA
Duration: 4+ Months
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 modelling, 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
Actual 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
Sprachkenntnisse
- English
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