Bachelor's degree in Computer Science, Data Science, Statistics, or a related field.
At least 3 years working experience in data platform, data analyticsor relevant projects.
Proven experience as a Data Engineer, with design and managing enterprise data architecture, including batch and real time processing.
Solid programming skills in languages such as Python, SQL, SAS, or R for data analysis and data engineering tasks.
Prior experience as a Data Engineer, with a demonstrated ability to design and implement data models, ETL processes, and data integration solutions.
Proven experience in at least one major data processing tool (Informatica, Kettle, Talend, Airflow, Dolphin etc).
Prior experience with cloud-based data platforms (e.g., Azure Data Factory, Azure Purview, Databricks, Snowflake, Kafka, or equivalent) and data storage technologies (e.g., SQL/NoSQL, Vector and Graph etc).