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 Uzbekistan, whether it's the comfort of your home or our modern office in Tashkent.
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
Discounts in local language schools, including offline courses for the Uzbek language
We cover it all:
Monetary bonuses for engaging in the referral program
Medical & family care package
Four trust days per year (sick leave without a medical certificate)
Discounts for fitness clubs, dance schools and sports programs
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.

Work arrangement
Yes