Senior AWS Data Lake Engineer – Cloud Modernization
Intellibee
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Job summary
Intellibee is seeking an experienced cloud data engineering specialist to design, build, and optimize large-scale AWS data lake solutions.
You will lead modernization of legacy apps, implement secure data architectures, and collaborate with stakeholders across IT and business teams in Raleigh.
The role demands strong Python/Java, DevOps, and Agile expertise to deliver scalable data pipelines and governance.
Qualifications
- Extensive experience in developing AWS Data Lake formations.
- Experience modernizing legacy apps and migrating to cloud.
- Proficient with AWS services for enterprise data lakes.
- Experience in data ingestion/storage, processing/transformation.
- Experience with Python ETL, security, and governance.
- Experience with DevOps, CI/CD, IaC, monitoring.
- Familiar with Power BI or AWS QuickSight.
Responsibilities
- Collaborating with stakeholders to gather requirements and propose effective modernization strategies
- Providing technical guidance and troubleshooting support throughout project delivery
- Acting as a trusted advisor to the technical team on industry trends and emerging technologies
- Develop, test, debug and deliver within timeline using best tools and best practices available.
- Ability to identify, analyze, and resolve technical issues and challenges.
- Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
- Identifies architectural risks and plans to mitigate risks
- Ensures adherence to standards and best practices
- Influences and communicates effectively with non‑technical audiences including senior ITD and business stakeholders.
Skills
Tools
Job description
Intellibee is seeking an experienced cloud data engineering specialist to design, build, and optimize large-scale AWS data lake solutions.
You will lead modernization of legacy apps, implement secure data architectures, and collaborate with stakeholders across IT and business teams in Raleigh.
The role demands strong Python/Java, DevOps, and Agile expertise to deliver scalable data pipelines and governance.
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