> Markdown version of [/jobs/ext/2270578-data-migration-technical-lead-aws](https://www.wearedevelopers.com/jobs/ext/2270578-data-migration-technical-lead-aws). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Migration Technical Lead - AWS - **Company:** Wise Skulls llc - **Location:** St. Louis, MO, United States - **Experience:** Expert - **Contract:** Temporary to permanent - **Skills:** Amazon Web Services, Amazon S3, Code Review, Continuous Integration, Data Cleansing, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Mapping, Data Migration, Python (Programming Language), Standard Sql, Apache Spark, State Machines, Software Troubleshooting, Git, Cloudformation, Pyspark, AWS Glue, AWS Data Analytics, Apache Kafka, Functional Programming, Terraform - **Published:** August 27, 2026 - **Apply:** https://www.dice.com/job-detail/0d6583b5-8e3a-48f9-892f-e8a6cdfc9ad9 ## About the Role * 8+ years of experience in Data Engineering / ETL / Data Migration * 3+ years leading technical development teams or major migration workstreams * Strong hands-on AWS Data Engineering * AWS Glue, S3, Lambda, Step Functions and AWS DMS * Strong Python and SQL * Hands-on PySpark/Spark * End-to-end data migration experience * Source-to-target mapping and transformation * Data cleansing, validation and reconciliation * Data quality frameworks and migration controls * Experience with mock migrations, dress rehearsals and production cutovers * Strong troubleshooting and root-cause analysis * CI/CD and Git * Terraform / CloudFormation / CDK * Experience leading developers, code reviews and technical design Preferred: Redshift, RDS/Aurora, Athena, EMR, CDC, Kafka, Terraform and enterprise modernization programs. ## Related Videos - [AWS Migration within 3 months](https://www.wearedevelopers.com/videos/196-aws-migration-within-3-months) - [How we built an AI-powered code reviewer in 80 hours](https://www.wearedevelopers.com/videos/1511-how-we-built-an-ai-powered-code-reviewer-in-80-hours) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) ## Related Articles - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)