Cloud Data Engineer (AWS) @ Reply Polska
Core
Design, develop, and maintain modern cloud data platforms and scalable data solutions in AWS, supporting data processing pipelines and transforming business requirements into efficient cloud architectures.
Role type
Cloud Data Engineer (AWS)
Builds
Scalable data platforms, ETL/ELT pipelines, and distributed data processing workflows in AWS.
Domain
Cloud computing, Big Data, Data Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Python, PySpark, AWS services, ETL pipeline design, data lake/warehouse architecture, Git, CI/CD practices
Preferred skills
Java, Azure, SQL, NoSQL, Kafka, Flink, Docker, Kubernetes, Databricks
Technologies
AWS Glue, PySpark, Kafka, Flink, Docker, Kubernetes, Databricks
Responsibilities
Design and implement cloud-based data processing solutions in AWS, Develop and maintain ETL/ELT pipelines, Build and optimize data workflows using PySpark, Work with AWS Glue jobs and data catalog, Monitor, troubleshoot, and improve data pipelines performance, Collaborate with teams to translate business requirements into data solutions
Seniority
Mid-level, hands-on IC
