Senior Data Software Engineer with Databricks and Azure

Nice to have

Familiarity with at least one other programming or scripting language, such as Java, SQL, or Scala

Support a team of data engineers to build pipelines used by MLOps and ML Engineers on ML modeling teams
Develop, optimize, and maintain data transformation pipelines in Databricks (PySpark)
Work with data stored in ADLS Gen2 and SAP HANA Data Lake, primarily in Delta/Parquet format
Implement and maintain data quality checks, including schema validation, deduplication, enrichment, and tagging
Communicate with stakeholders to understand business processes and model input data
Tune performance for large-scale datasets

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 online courses for the Kazakh language

We cover it all:

Participation in the Employee Stock Purchase Plan 
Monetary bonuses for engaging in the referral program 
Medical & family care package   
Six trust days per year (sick leave without a medical certificate)   
Coverage of psychology sessions of your choice
Benefits package (sports activities, a variety of stores and services)
Housing support program: preferential mortgage access via Otbasy Bank partnership