Design and develop high-quality data pipelines using Databricks and medallion architecture

Participate in data modeling and implement data solutions aligned with project goals

Estimate, task, and prototype data engineering solutions to meet client needs

Collaborate with cross-functional teams on software features, design, and implementation

Gather and clarify requirements from stakeholders to ensure solutions meet expectations

Maintain and enhance data integration workflows and infrastructure as code

Support data observability initiatives to improve data quality and reliability

3+ years of experience in Data Software Engineering

Experience with Databricks on any cloud platform, with Azure preferred

Proficiency in Python, PySpark, and SQL for data processing and analysis

Strong understanding of data engineering concepts, including ETL/ELT, data warehousing, and data modeling

Experience in infrastructure as code development and maintenance

Strong communication and collaboration skills to work effectively in ambiguous environments

Ability to work independently and as part of a team to deliver solutions

English proficiency at C1 level or higher

Familiarity with Azure services such as azcopy, ADLS Gen2, KeyVault, SPN, Log Analytics, and Azure Monitor

Experience with CI/CD tools like Cloudbees and Jenkins for Databricks workflows

Knowledge of Terraform for provisioning Azure resources including ADLS and Databricks

Exposure to data visualization platforms such as Tableau

Understanding of data streaming technologies like Kafka