Data Engineer

Design, develop, and maintain data pipelines and ETL/ELT workflows on cloud data platforms. Develop and optimize data models, data transformations, and workflows using Python and SQL. Support analytics and reporting teams by ensuring data is accurate, reliable, and accessible.

Work with stakeholders to understand data requirements and translate them into technical solutions. Monitor, troubleshoot, and improve data pipeline performance and data platform reliability. Prepare and maintain technical documentation.

Degree in Computer Science, Information Technology, Data Engineering, or a related discipline. Up to 4 years of experience in Data Engineering. Hands-on experience with Azure Synapse.

Proficient in Python and SQL. Experience building and supporting ETL/ELT pipelines. Good communication and stakeholder engagement skills.

Preferred Skills Exposure to Azure cloud services. Experience with Databricks, Snowflake, or Power BI. Exposure to business requirements gathering and process documentation.