AWS Data Lake Engineer: Scalable Pipelines & Iceberg

Location: Warsaw (Poland)

Job Summary:

We are seeking a skilled AWS Data Lake Engineer to design, build, and maintain scalable data lake solutions on AWS. The ideal candidate will have strong experience in cloud-based data engineering, big data processing, and modern data architecture.

Key Responsibilities:

• Design and develop data lake solutions using AWS services such as IAM, Lambda, EKS, S3, EMR, and MWAA
• Build and optimize data pipelines using Python and PySpark
• Implement and manage Apache Iceberg tables for efficient data storage and querying
• Develop and maintain CI/CD pipelines and infrastructure using Terraform
• Ensure data quality, security, and governance across the platform
• Orchestrate workflows and automate data processing tasks

Required Skills:

• Strong experience with AWS data services and cloud architecture
• Proficiency in Python and PySpark
• Hands-on experience with Apache Iceberg
• Experience with CI/CD tools and Infrastructure as Code (Terraform)
• Knowledge of data quality, data security, and workflow orchestration