Senior Data Software Engineer/ AI Agents, Azure, Spark

We are looking for an experienced Senior Data Software Engineer with strong hands-on expertise in Azure and the Spark ecosystem , primarily focused on building and maintaining data transformation pipelines.

The candidate should be comfortable with any Spark-adjacent technology (PySpark, Spark SQL, Scala Spark, Databricks, Synapse, etc.) rather than being locked into one specific flavor. Experience with Microsoft Fabric is a strong plus but not a requirement.

The ideal candidate combines great technical skills with leadership capability, contributing to architecture, design, development, and mentoring of engineering teams — preferably in complex enterprise or financial services environments.

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

• Lead the design, development, and optimization of scalable data engineering solutions on Azure, using Spark-based processing (PySpark, Spark SQL, Scala, or equivalent)
• Own end-to-end data transformation pipelines, including ingestion, transformation, storage, and analytics
• Work with Azure-native data services such as Data Factory, Databricks, and Synapse
• Support high-performance data access patterns using Cosmos DB (NoSQL API) where applicable
• Collaborate with data scientists, AI engineers, and product stakeholders to enable data-driven analytics and insights
• Mentor and guide junior engineers, setting coding standards and best practices
• Ensure data quality, security, governance, and performance across platforms
• Contribute to technical decision-making and solution architecture discussions

Requirements

• 3+ years of experience in data engineering roles, preferably within complex enterprise or financial services environments
• Expertise in Azure cloud data services, including Data Factory, Databricks, and Synapse
• Proficiency in the Spark ecosystem, including PySpark, Spark SQL, and Scala Spark
• Background in designing and maintaining end-to-end data transformation pipelines covering ingestion, transformation, storage, and analytics
• Skills in ensuring data quality, security, and governance across large-scale platforms
• Capability to contribute to solution architecture and technical decision-making
• Competency in mentoring engineering teams and setting coding standards and best practices
• Understanding of high-performance data access patterns using Cosmos DB (NoSQL API)
• English proficiency at an Upper-Intermediate level (B2) or higher

Nice to have

• Hands-on experience with Microsoft Fabric and OneLake (Delta / OpenLake)
• Familiarity with financial instruments and financial services data
• Exposure to AI-assisted development tools such as GitHub Copilot and awareness of industry-standard LLMs
• Knowledge of Data Science fundamentals and collaboration experience with DS teams

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.