Database Administrator​/Data Engineer – AWS Migration

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 Dynamo

DB.

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.

• 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 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 Postgre
  
  SQL, SQL Server, DynamoDB
• Hands-on experience using AWS db services including S3, RDS, Postgre
  
  SQL, Dynamo
  
  DB, 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 Git Hub and AWS Code Pipeline

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