Senior Data Engineer

Design, build, and maintain scalable data pipelines and ETL/ELT processes across cloud data platforms. Gather business requirements and translate them into technical data solutions. Engage stakeholders to understand business processes, data challenges, and reporting needs.

Develop and optimize data models, transformations, and workflows using Python and SQL. Collaborate with analytics and reporting teams to support downstream data consumption. Monitor, troubleshoot, and improve data pipeline and platform performance.

Produce business and technical documentation.

Degree in Computer Science, Information Technology, Data Engineering, or a related discipline. 5 to 7 years of experience in Data Engineering. Strong experience in Azure Synapse and Azure Data Factory (ADF).

Proficient in Python and SQL. Experience in requirements gathering, stakeholder management, and process documentation. Strong communication skills with the ability to work with both technical and business users.

Preferred Skills Experience with Databricks, Snowflake, or Power BI. Experience working in Azure cloud environments. Exposure to data architecture and modern data platform practices.