In this role, you will work on developing pipelines to build business-related data products and designing cloud-based platform solutions to support DataHub functionality. If you’re passionate about shaping the future of data engineering and thrive in an environment where innovation and collaboration are key, we invite you to join us.

Responsibilities

Design and implement data pipelines
Perform data ingestion processes to integrate existing data sources into the new platform
Participate in platform engineering, including cloud-based solutions to support the architecture, such as ingestion frameworks, platform orchestrators and exploratory environments
Conduct MLOps activities to build production-ready cloud-based solutions to support existing ML pipelines
Take part in the design of on-premises to cloud migration activities

Requirements

Strong production experience in Java, Python or Scala
Proficiency in SQL
Understanding of common Big Data challenges (splitability, massive parallel processing, load-balancing, data locality, streaming, etc.) and relevant technologies (Apache Spark, Kafka, NoSQL databases)
Familiarity with data modeling concepts such as relational/dimensional data, SCD and snowflaking
Hands-on production experience with any major cloud provider: Azure, AWS or GCP
B2 English level, both verbal and written
Hands-on production experience with any major cloud provider: Azure, AWS or GCP

Nice to have

Competency in common data-related architectures such as Data Hub or Data Lake
Knowledge of Databricks

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 LinkedIn Learning and Get Abstract
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)

_Experience the freedom of remote work from anywhere in Uzbekistan, whether it's the comfort of your home or our modern office in Tashkent.

_EPAM Uzbekistan is a team of technologists and innovators united by technology. In 2019, we opened our first office in Tashkent. Since then, we’ve built a continuously learning organization that helps its employees reach their full potential and achieve professional goals through learning. Our agile methodologies, client collaboration frameworks, engineering excellence programs, and hybrid teams offer many career paths and development opportunities.