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# Vector Database Engineer

- **Company:** OpenKyber LLC
- **Location:** United States
- **Experience:** Experienced
- **Contract:** Temporary to permanent
- **Skills:** Amazon Web Services, Amazon S3, Big Data, Cloud Computing, Databases, Data Validation, Information Engineering, Extract Transform Load (ETL), Data Migration, Amazon DynamoDB, Github, Python (Programming Language), PostgreSQL, Microsoft SQL Server, Performance Tuning, Application Data, Data Processing, Scripting, Delivery Pipeline, Snowflake, Database Performance, Database Migration, Amazon Relational Database Service, Data Lakes, AWS Glue, Performance Monitor, AWS Data Analytics, Data Management, Api Gateway, Software Version Control, Data Pipelines, Data Generation
- **Published:** May 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=bc525900a1b67460

## About the Role

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 Strong experience with 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

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

## Description

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., Role: Database Administrator / Data Engineer AWS Migration US- Richmond/VA, 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.


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