Senior Data Software Engineer/ AWS, Databricks, PySpark

EPAM Systems; Turkey; On-site; TRY 6,417,000 - 8,391,000; Full time

Benefits offered by this job

Upskilling programs

Private health insurance

Referral bonuses

Extra leave days

IT equipment

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

Async

pytest

AWS

Kubernetes

Databricks

PySpark

Terraform

Data security

GDPR

Microservices

Distributed systems

Tools

MWAA

Databricks

Job description

We are looking for a Senior Data Software Engineer to join a team that builds and maintains data infrastructure and platform tooling for a large engineering organization. The work spans cross-region data exchange solutions, Databricks-based data sharing infrastructure, and backend integrations used daily by engineers across multiple regions.

Responsibilities

• Design and implement solutions for cross-region data exchange in environments with strict regulatory and security requirements
• Build and maintain scalable backend services and integrations using Python
• Develop and support data pipelines using PySpark and Apache Airflow (MWAA)
• Deploy and manage Databricks environments on AWS via reusable Terraform modules
• Establish and maintain Delta Sharing for secure data sharing between Databricks accounts
• Create microservices and platform tooling that enable collaboration across distributed engineering teams
• Contribute to platform initiatives used by engineers globally
• Collaborate with cross-functional stakeholders spanning multiple geographies and business units

Requirements

• 3+ years of experience in Data Software Engineering
• Strong backend engineering experience in Python, including async patterns, clean code, and testing with pytest
• Working knowledge of AWS services such as IAM, S3, and DynamoDB
• Familiarity with Kubernetes on AWS, CodeArtifact, and MWAA
• Hands-on proficiency in Databricks and PySpark for data pipeline development and platform management
• Background in designing and building microservices architecture and distributed systems
• Skills in Infrastructure as Code using Terraform or equivalent
• Understanding of data security and privacy principles, including GDPR
• Ownership — proactive accountability for deliverables end-to-end
• Team player — respectful communication and shared responsibility for team outcomes
• Organisational skills — self-directed and able to manage workload in a distributed team
• Engineering mastery — commitment to quality, best practices, and continuous improvement
• English level B2+, with the ability to communicate fluently with English-speaking stakeholders and share technical reasoning clearly

Nice to have

• Expertise in Delta tables and Delta Sharing
• Competency in data modeling and extensible schema design

We offer

• CONTINUOUS UPSKILLING, LEARNING & DEVELOPMENT
  • Diversity of tasks and projects
  • Assessment center for objective review of competency level
  • Personal development plan
  • Mentoring programs and leadership development
  • Certification and professional development support
  • Access to learning platforms including more than 2,500 internal courses
  • English courses taught by certified teachers
• CORPORATE BENEFITS
  • Extra leave days
  • Referral bonuses
• COMPENSATION PACKAGE
  • Competitive compensation paid in USD
  • Regular salary and performance reviews
• MEDICAL & HEALTHCARE
  • Private health insurance
  • Well-being events
• WORKING ENVIRONMENT
  • Recreation areas and kitchens
  • Tea, coffee and snacks
  • Sports equipment and game consoles
  • IT Equipment
  • Microsoft’s Software Assurance Home Use Program (HUP)

Please note that our Talent Attraction Team reviews applications and CVs submitted in English.

EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.