-
Design, development and maintenance of data processing workflows
-
Working with large datasets in the Azure and Databricks environments
-
Creating and optimising SQL queries and ETL/ELT processes
-
Analysing data and supporting business teams in interpreting results
-
Developing solutions based on Python and Spark
-
Ensuring the quality, consistency and availability of data
-
Collaborating with technical and business teams to define and implement data-driven solutions.