EPAM Systems
Lead Cloud Data Engineer
Job Description
We are looking to add a highly skilled and motivated **Lead Cloud Data Engineer** with strong backend development skills and Cloud platform experience (AWS/GCP) to our team.
As a vital team member, you will be charged with designing, implementing, and maintaining our data-centric, Cloud-hosted backend infrastructure and services. You will be pivotal in expanding and optimizing our data processing pipelines and APIs, ensuring they are highly available, secure, and perform efficiently.
RESPONSIBILITIES
- Optimize data pipelines using ELT frameworks like Fivetran, dbt, Airflow, and PySpark, ensuring data moves and transforms efficiently; schema design and data modeling expertise are crucial
- Develop and maintain high-throughput, low-latency backend services for data ingestion, processing, and transformation using languages such as Python and Java
- Build and support robust, scalable, and secure RESTful APIs using frameworks like Spring Boot (Java) or Flask/FastAPI (Python)...
As a vital team member, you will be charged with designing, implementing, and maintaining our data-centric, Cloud-hosted backend infrastructure and services. You will be pivotal in expanding and optimizing our data processing pipelines and APIs, ensuring they are highly available, secure, and perform efficiently.
RESPONSIBILITIES
- Optimize data pipelines using ELT frameworks like Fivetran, dbt, Airflow, and PySpark, ensuring data moves and transforms efficiently; schema design and data modeling expertise are crucial
- Develop and maintain high-throughput, low-latency backend services for data ingestion, processing, and transformation using languages such as Python and Java
- Build and support robust, scalable, and secure RESTful APIs using frameworks like Spring Boot (Java) or Flask/FastAPI (Python)...