Opportunity to work on a modern project focused on customer data processing and
analytics using Machine Learning, with access to the latest cloud and analytical
technologies. Possibility to grow towards ML Engineering and MLOps roles, in a flexible
work model while collaborating with an experienced and cohesive team.
responsibilities :
Designing, implementing, and maintaining data processing solutions in
Microsoft Azure cloud, including deployment automation and environment
configuration using Azure DevOps (CI/CD pipelines), Terraform, YAML, and Azure
CLI
Real-time data processing (streaming) and supporting business teams through
solution testing and data validation
Building data processing pipelines using Azure Databricks and Apache Spark
Orchestrating data workflows with Azure Data Factory
requirements-expected :
Minimum 5 years of experience working as a Data Engineer
Strong expertise in the Microsoft Azure ecosystem, including: Azure Databricks (Spark), Azure Data Factory (data pipeline orchestration), Azure Data Storage / Delta Lake, Azure DevOps (CI/CD, access management, automation)
Ability to design and implement cloud-based solutions for advanced analytics
and computation
Willingness to support solution testing and validation
Team-oriented mindset with strong communication skills
Experience in Machine Learning, MLOps, and MLflow
Hands-on experience with tools and technologies such as:
