Education: A bachelor's degree in computer science, information technology, or a related field is required.

Experience: 3-5 years of hands-on experience in data engineering, with a focus on cloud-based data platforms.

Language: Strong proficiency in reading, writing, and communication in English is required for this role

Key Responsibilities:

Programming Languages: Strong skills in SQL and Python (or another scripting language).

ETL/ELT Processes: Experience building and optimizing ETL/ELT pipelines using Azure and Snowflake.

Azure Cloud Infrastructure: Design and implement scalable, secure, and resilient data solutions using Azure services (e.g., Azure Data Factory, Azure Synapse, Azure Data Lake).

Data Integration: Work with a variety of data sources (structured, semi-structured, unstructured) and ensure smooth integration into the Snowflake environment.