Data Lakehouse Engineer
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Key Responsibilities
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- Design and implement scalable AWS Data Lakehouse solutions
- Develop and maintain data pipelines using Python and PySpark
- Work with AWS Services Including: S3, EMR, Lambda, IAM, EKS, MWAA
- Build and manage Apache Iceberg tables for efficient data storage and querying
- Implement CI/CD pipelines for data platform deployments
- Use Terraform for infrastructure as code (IaC)
- Ensure data quality, governance, and security best practices
- Orchestrate workflows and automate data processes
- Collaborate with cross-functional teams including data analysts, scientists, and DevOps engineers Required Skills & Experience
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- Strong experience in AWS Data Engineering Hands‑On Expertise With
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- AWS services: IAM, Lambda, EKS, S3, EMR, MWAA
- Apache Iceberg
- Python & PySpark
- Solid understanding xlwxzce of data lakehouse architecture principles
- Experience with CI/CD pipelines and Terraform
- Knowledge of data quality frameworks and data security standards
- Familiarity with workflow orchestration tools Preferred Qualifications
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- Experience working in hybrid cloud or multi-region environments
- Strong problem‑solving and communication skills
- Ability to work independently in a contract setting
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