Skip to main content

EPAM Systems is hiring Senior Data Engineer

➡️ Apply here: Senior Data Engineer

🔔 Monitor #data_engineer jobs

👩‍💼 Want to stand out? Improve your resume to appeal to recruiters, hiring managers, and Applicant Tracking Systems. ➡️ Improve your resume


We are seeking a highly skilled and detail-oriented Senior Data Engineer to join our growing team in Cyprus.
In this role, you will be a key contributor to build and optimize our data infrastructure, pipelines and analytics systems. You will be responsible for designing, building and maintaining highly scalable and secure ETL/ELT data pipelines to support the needs of analytics, data science and business teams. The ideal candidate has strong technical expertise, problem-solving skills and leadership capabilities to support the development of a scalable and robust data engineering ecosystem.
This role offers a hybrid work setup, providing flexibility to work both remotely and in-office, helping you achieve a balanced professional and personal life.

Responsibilities:
Architect and maintain modern data platforms, warehouses and lakes (e.g., Snowflake, BigQuery, Redshift, Databricks)
Optimize the storage and retrieval of data and ensure performance and cost efficiency
Establish processes and systems for monitoring data quality, completeness and reliability
Automate manual processes and optimize data delivery workflows to reduce latency and improve job reliability
Implement and maintain Kafka-based streaming data pipelines for real-time data processing and integration with various systems
Integration to third party databases and APIs
Continuously refine and improve existing data systems and pipelines for scalability
Implement monitoring and alerting systems for data pipelines
Ensure data infrastructure uptime and availability

Requirements:
Minimum 5–8+ years of experience in data engineering or related roles, including experience with large-scale data processing
Proficiency in programming languages like Python, SQL
Expertise in building and maintaining ETL/ELT workflows using tools like Apache Airflow
Hands-on experience with Big Data technologies like Spark, Hadoop and Kafka
Working experience with version control systems (Git) and CI/CD pipelines
Fluency in English

We offer:
Private healthcare insurance
Global travel medical and accident insurance
Regular performance assessments
Referral bonuses
Family friendly initiatives
Learning and development opportunities including in-house training and coaching, professional certifications, over 22,000 courses on LinkedIn Learning Solutions and much more
*All benefits and perks are subject to certain eligibility requirements

Previous and next articles