Senior Data Platform Engineer (AWS, Databricks, PySpark)

EPAM Systems; Turkey; Presencial; TRY 6 417 000 - 8 391 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Upskilling programs

Private health insurance

Referral bonuses

Extra leave days

IT equipment

Resumo da oferta

EPAM Systems is seeking a Senior Data Software Engineer to build and maintain data infrastructure and platform tooling for a large engineering organization. You will handle cross-region data exchange, Databricks-based data sharing, and backend integrations used by engineers across multiple regions.

Responsibilities include designing secure cross-region data exchange, building scalable Python backends, and deploying Databricks environments on AWS via Terraform.

Qualificações

• 3+ years of experience in Data Software Engineering.
• Strong backend experience in Python with async patterns and pytest testing.
• Working knowledge of AWS services such as IAM, S3, and DynamoDB.
• Familiarity with Kubernetes on AWS, CodeArtifact and MWAA.
• Hands-on Databricks and PySpark for data pipeline development.
• Experience designing microservices and distributed systems.

Responsabilidades

• Design and implement cross-region data exchange solutions with security controls.
• Build and maintain scalable backend services using Python.
• Develop data pipelines with PySpark and Apache Airflow (MWAA).
• Deploy and manage Databricks environments on AWS via Terraform modules.
• Establish Delta Sharing for secure data sharing between Databricks accounts.
• Create platform tooling for distributed engineering teams across geographies.
• Collaborate with stakeholders across business units to deliver platform initiatives.

Conhecimentos

Python

Async

pytest

AWS

Kubernetes

Databricks

PySpark

Terraform

Data security

GDPR

Microservices

Distributed systems

Ferramentas

MWAA

Databricks

Descrição da oferta de emprego

EPAM Systems is seeking a Senior Data Software Engineer to build and maintain data infrastructure and platform tooling for a large engineering organization. You will handle cross-region data exchange, Databricks-based data sharing, and backend integrations used by engineers across multiple regions.

Responsibilities include designing secure cross-region data exchange, building scalable Python backends, and deploying Databricks environments on AWS via Terraform.