Senior Data Engineer
We are looking for a Senior Data Engineer to design and deliver scalable data pipelines and high-performance analytical solutions using SQL/BigQuery, Spark/PySpark, and Python on Google Cloud. This role focuses on building reliable, cloud-native data products that enable advanced reporting, analytics, and decision-making across the organization.
Responsibilities
- Design and deliver batch and real-time ETL/ELT pipelines across cloud environments to support analytics and reporting
- Write and optimize advanced SQL transformations and build performant, cost-efficient BigQuery data models
- Implement scalable data processing solutions using Python and PySpark, ensuring maintainable and high-quality code
- Build robust data models and apply validation practices to maintain accuracy and reliability
- Use GCP services such as BigQuery, Dataflow, Cloud Composer, Pub/Sub, and GCS to build and operate modern data platforms
- Troubleshoot complex pipeline issues and continuously improve compute, storage, and processing performance
- Collaborate with engineering, analytics, and business teams while contributing to CI/CD, code reviews, and testing standards
Requirements
- 5+ years of experience as a Data Engineer, building scalable data pipelines and working with cloud-based data ecosystems
- Expertise in SQL and hands-on experience building performant datasets in BigQuery or similar cloud data warehouses
- Proficiency in Python and PySpark for scalable data processing in distributed environments
- Understanding of data modeling, ELT/ETL patterns, and data quality best practices
- Familiarity with Google Cloud Platform, particularly BigQuery, Dataflow, and Cloud Composer, GCS, or equivalent cloud data services
- Background in building scalable data pipelines, both batch and near real-time, in a cloud-native environment
- Proficiency with version control, CI/CD pipelines, and automated testing frameworks
- Capability to troubleshoot and optimize performance across compute, storage, and processing layers
Nice to have
- Experience with Infrastructure-as-Code, including Terraform, Ansible, and Chef
- Knowledge of shell scripting
- Experience in financial services or regulated environments
Benefits
We believe that the greatest strength of the company is its people. EPAM is fully committed to help its employees to reach their full potential and achieve their professional goals through continues learning. With this in mind, we would like to introduce to you few of the many opportunities and services which we believe will help you expand your current knowledge:
- Full access to cutting-edge tools and technologies
- Competitive compensation depending on experience and skills
- All-around Social package: professional & soft skills training, medical & family care programs, sports
- Free English classes
- Unlimited access to LinkedIn learning solutions
- Continuous experience exchange with experts and professionals worldwide
- Friendly team and comfortable working environment
- Engineering, corporate, and social events within and outside the Company
- Flexible working schedule
- Opportunities for self-realization