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 technologiesOversee the entire technical stack, covering configuration management, system monitoring, troubleshooting, and performance optimizationCreate and sustain scalable pipelines that enable effective data processing and analysisWork alongside cross-functional teams and data architects to understand business needs and convert them into technical requirementsDirect and take part in code reviews and testing processes to guarantee compliance with standards, quality checkpoints, and SDLC best practicesProduce and update comprehensive technical documentation across data engineering initiatives to promote clarity and shared understandingIdentify 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 systemsStrong skills in Python and SQL programmingSignificant practical background working with Apache Spark, Kafka, and AirflowHands-on familiarity with leading cloud platforms such as AWS, Azure, or GCPExperience with Databricks or Snowflake is considered a plusHands-on expertise optimizing the performance of Apache Spark jobsSolid grasp of SDLC principles, quality checkpoints, and Agile practicesStrong communication abilities with at least a B2+ level of English proficiencySelf-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 impactEnjoyable working environment, whether it is the vibrant office or the comfort of your own homeOpportunity to work abroad for up to two months per yearRelocation opportunities within our offices in 55+ countriesCorporate and social eventsWe invest in your growth:Leadership development, career advising, soft skills and well-being programsCertifications, including GCP, Azure and AWSUnlimited access to EPAM's internal learning databaseFree English classes with certified teachersDiscounts in local language schools, including offline courses for the Uzbek languageWe cover it all:Monetary bonuses for engaging in the referral programMedical & family care packageFour trust days per year (sick leave without a medical certificate)Discounts for fitness clubs, dance schools and sports programsBenefits 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.