5+ years of experience in technical roles within data, analytics, or platform environments, with exposure to leadership or solution ownership responsibilities
Expertise in cloud-based data platforms, preferably Azure
Background in data architecture, data modeling, and data platform design, including complex, large-scale datasets
Hands-on experience with Databricks, Spark/PySpark, and SQL for data transformation pipelines and analytics platforms
Proficiency in SQL and data storage concepts, including relational databases, NoSQL, and data lakes, with performance optimization for large and complex datasets
Knowledge of Python and data manipulation ecosystems such as Pandas and NumPy, with ability to review and guide code even if not hands-on full time
Familiarity with data visualization tools including Power BI, Tableau, and Looker
Experience designing or governing data quality frameworks, lineage, monitoring, and auditability
Familiarity with orchestration tools and data integration patterns such as ADF, Airflow, and AWS Glue, or equivalent
Experience with software engineering best practices including version control with git, branching strategies, code reviews, and CI/CD
Understanding of data governance, security, and access control for sensitive business and regulatory data
Proficiency in English at a B2+ level