Senior Data Software Engineer

We're looking for a practical and skilled Senior Data Software Engineer who possesses strong expertise in Apache Spark and large-scale distributed computing systems. The individual in this position will oversee the complete data infrastructure lifecycle, handling everything from building ingestion solutions to guaranteeing data pipelines remain reliable and scalable over time.

The ideal candidate will work well in team settings, partnering across different departments to convert complicated business needs into effective technical outcomes, all while upholding strict engineering and performance benchmarks.

Experience the freedom of remote work from anywhere in Georgia, whether from the comfort of your home, our modern offices in Tbilisi and Batumi or a coworking space in Kutaisi.

Responsibilities

• Build and architect dependable data ingestion solutions and pipelines leveraging Cloud Native and Big Data technologies
• Oversee the entire technical stack, covering configuration management, system monitoring, troubleshooting, and performance optimization
• Create and sustain scalable pipelines that enable effective data processing and analysis
• Work alongside cross-functional teams and data architects to understand business needs and convert them into technical requirements
• Direct and take part in code reviews and testing processes to guarantee compliance with standards, quality checkpoints, and SDLC best practices
• Produce and update comprehensive technical documentation across data engineering initiatives to promote clarity and shared understanding
• Identify and fix data-related problems promptly and effectively, ensuring solutions remain high-quality, dependable, and scalable

Requirements

• At least 3 years working in Data Software Engineering with a concentration on large-scale distributed systems
• Strong skills in Python and SQL programming
• Significant practical background working with Apache Spark, Kafka, and Airflow
• Hands-on familiarity with leading cloud platforms such as AWS, Azure, or GCP
• Experience with Databricks or Snowflake is considered a plus
• Hands-on expertise optimizing the performance of Apache Spark jobs
• Solid grasp of SDLC principles, quality checkpoints, and Agile practices
• Strong communication abilities with at least a B2+ level of English proficiency
• Self-driven, independent, and able to manage multiple projects at once while staying efficient

We offer

• We connect like-minded people

• Delivering innovative solutions to industry leaders, making a global impact

• Enjoyable working environment, whether it is the vibrant office or the comfort of your own home

• Opportunity to work abroad for up to two months per year

• Relocation opportunities within our offices in 55+ countries

• Corporate and social events

• We invest in your growth

• Leadership development, career advising, soft skills and well-being programs

• Certifications, including GCP, Azure and AWS

• Unlimited access to EPAM's internal learning database

• Free English classes with certified teachers

• We cover it all

• Participation in the Employee Stock Purchase Plan

• Monetary bonuses for engaging in the referral program

• Comprehensive medical & family care package

• Five trust days per year (sick leave without a medical certificate)

• Benefits package (sports activities, a variety of stores and services)

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.