Data Engineer

Job Responsibilities

• 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.

Requirements

• 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.