Senior Data Software Engineer with Azure Databricks

We are seeking a Senior Data Software Engineer with Azure Databricks expertise to grow the data ingestion and curation capabilities of the client's Enterprise Data Lake (EDL) on Microsoft Azure and Databricks. The team will bring new data sources onto the lakehouse and curate them through the Medallion layers (Bronze → Silver → Gold), so the business has trusted data for reporting and analytics. The first project is API ingestion from Genesys Cloud (contact centre platform), starting with daily loads and moving to near real-time and streaming in later phases, with more sources to follow. This role will lead a team of data engineers and deliver designs set by the Solution Architect.
Unlock the potential of remote work in Kazakhstan, giving you the flexibility to work from home or access our offices in Astana, Almaty or Karaganda.
Responsibilities
Lead the engineering team: break designs (HDD/TDD) into tasks, distribute work, track delivery and remove blockers
Turn designs into working pipelines and find the right technical solutions where a design leaves gaps
Evolve reusable ingestion patterns (API, file, database, streaming) on the metadata-driven EDL framework
Lead curation across the Medallion layers: append-only Bronze, SCD2 history in Silver, and support for Gold models built with data modelers
Own the physical table design (liquid clustering vs. partitioning), the Unity Catalog structure and RBAC
Lead data quality and reconciliation: source-to-lake checks, DQ rules, audit logging and alerting
Drive performance improvements: find bottlenecks, optimize Spark jobs, Delta tables, SQL queries and Power BI models and reduce compute cost
Guide the creation of Power BI reports and Databricks dashboards for business reporting and pipeline monitoring
Review code, enforce engineering standards, and own CI/CD promotion (DEV → TST → PRD)
Work with the Solution Architect, platform/CloudOps teams and business stakeholders, and prepare runbooks and the handover to operations
Requirements
3+ years of experience in Big Data/data engineering on Azure Databricks, with a track record of leading delivery teams
Experience leading teams and architecture: distributing tasks, code review, finding the right technical solutions and guiding the team to implement them
Knowledge of Medallion Lakehouse architecture, covering both ingestion and curation
Expertise in Azure Databricks: Workflows/Jobs, Notebooks, Unity Catalog (schemas, views, grants, service principals), SQL Warehouse
Proficiency in Delta Lake: MERGE, SCD Type 2, OPTIMIZE and small-file handling
Understanding of liquid clustering and partitioning: choosing clustering keys, data skipping, and the effect on MERGE performance
Skills in Spark Structured Streaming: Auto Loader, checkpoints, triggers, watermarking, stateful processing, exactly-once delivery into Delta
Proven track record of performance improvements: Spark tuning (Spark UI, shuffle and skew, joins, AQE), Delta file layout, SQL optimization, and compute right-sizing and cost
Proficiency in PySpark, Python and strong SQL
Experience in REST API ingestion: OAuth2, async jobs, pagination, rate and concurrency limits, retries and idempotent reloads
Familiarity with Azure: Data Factory, ADLS Gen2, Key Vault, Azure SQL Database (config-driven frameworks)
Background in data modeling, data quality and reconciliation, CI/CD for data platforms (GitHub, PR-based promotion), and ability to create Power BI reports and Databricks dashboards
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 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
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