AWS Data Migration Lead

Largeton Group

St. Louis (MO)

On-site

USD 140,000 - 190,000

Full time

14 days+
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Job summary

Largeton Group is seeking an AWS Data Migration Lead with 8+ years in data engineering, ETL/ELT or data migration to design and deliver enterprise migrations on AWS.

You will oversee end-to-end migrations, leverage AWS Glue, Redshift, DMS, and PySpark, and drive data quality, testing, and CI/CD within an Agile environment.

Qualifications

  • 8+ years of data engineering, ETL/ELT, or data migration.
  • 3+ years leading teams or projects.
  • Experience with AWS services and data migration frameworks.

Responsibilities

  • Design, develop, and deliver enterprise data migration solutions on AWS.
  • Lead end-to-end data migration, including extraction, transformation, cleansing, validation, loading, and reconciliation.
  • Implement data quality, auditing, monitoring, and CI/CD with infrastructure as code.

Skills

Leadership
Agile

Tools

AWS
Python
SQL
PySpark
AWS Glue
S3
Lambda
Step Functions
DMS
Redshift
RDS/Aurora
Terraform
CloudFormation
AWS CDK

Job description

Job Details
  • 8+ years data engineering, ETL/ELT, or data migration.
  • Job Title AWS Data Migration Lead
  • 8+ years data engineering, ETL/ELT, or data migration.
  • 3+ years Lead
  • AWS services, Python, SQL, and PySpark.
  • Data quality frameworks, reconciliation, migrations.
  • Relational databases, data modeling, and performance optimization.
  • Agile

This role involves design, development, and delivery of enterprise data migration solutions using AWS, migration architecture, data engineering, QA, and production cutover execution. Also end-to-end data migration design, development, and implementation, ETL/ELT and migration frameworks using AWS services, data extraction, transformation, cleansing, validation, loading, and reconciliation plus AWS Glue, S3, Lambda, Step Functions, DMS, Redshift, and RDS/Aurora. Additionally data quality, audit, reconciliation, and monitoring controls, support, testing, CI/CD, code using Terraform, CloudFormation, or AWS CDK and code reviews.

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