What you’ll need to succeed in this role:

At least 5 years of commercial experience implementing, developing, or maintaining Big Data systems.
Strong programming skills in Python: writing a clean code, OOP design.
Strong SQL skills, including performance tuning, query optimization, and experience with data warehousing solutions.
Experience in designing and implementing data governance and data management processes.
Deep expertise in Big Data technologies, including Apache Airflow, Dagster, Databricks, Spark, DBT, and other modern data orchestration and transformation tools.
Experience implementing and deploying solutions in cloud environments (with a preference for Azure).
Knowledge of how to build and deploy Power BI reports and dashboards for data visualization.
Excellent understanding of dimensional data and data modeling techniques.
Consulting experience and the ability to guide clients through architectural decisions, technology selection, and best practices.
Ability to work independently and take ownership of project deliverables.
Master’s or Ph.D. in Computer Science, Data Science, Mathematics, Physics, or a related field.