5+ years of hands-on experience developing high-performance BI dashboards and data models using tools like Power BI (highly preferred), Tableau, Metabase, or equivalent
1+ years of proven experience leading or mentoring a team of data professionals in an Agile environment
Expert-level SQL knowledge, with a deep background in relational databases (MySQL, PostgreSQL, MS SQL Server) and experience with large-scale columnar/cloud data systems (such as ClickHouse or AWS Redshift)
Solid understanding of staging areas, data cleansing, profiling, and modern data architecture concepts (DWH, Data Lakes, Lakehouses/Delta Lakes, and Data Marts)
Proficiency in Python (specifically Pandas, NumPy, and statistical libraries) for data manipulation, automation, or custom analytical scripts
Familiarity with cloud technologies, preferably AWS services (S3, Redshift, Athena, Lambda, Glue) or equivalent Azure, GCP, or Snowflake architectures
Practical experience working in an Agile development environment (SCRUM, Kanban), with expertise in testing data products for latency and accuracy
Exceptional ability to break down highly complex technical data structures into clear business insights for non-technical audiences
Strong English proficiency (Upper-Intermediate level or higher)
Hands-on experience with orchestration frameworks such as Apache Airflow
Strong background in or understanding of corporate financial modeling, KPI setup, budgeting, and auditing procedures
Understanding of CI/CD principles and automated deployment frameworks for BI and reporting tools