Senior Data Software Engineer with Databricks and Azure

We are looking for a Senior Data Software Engineer to join the Data Engineering CoE, building and scaling data pipelines in Databricks with PySpark and Python to deliver data products for the client's stakeholders.

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

• 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

Requirements

• 3+ years of experience in data engineering or a related field

• Proficiency in Python, PySpark, and Databricks, including Delta Lake

• Familiarity with software version control tools such as GitHub and Git

• Experience with CI/CD frameworks such as GitHub Actions

• Knowledge of data lake technologies

• Experience working with MS Azure

• English proficiency at B2 level or higher

Nice to have

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

We offer/Benefits

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

•…