What you'll do :

• Develop and maintain robust data pipelines using Python, SQL, and experience with big data technologies like Hadoop, Spark
• Utilize Azure native services, including but not limited to Azure Data Factory, Azure SQL Database, and Azure Databricks, to build and optimize data workflows.
• Deliver data pipelines using best practices for data storage, processing, and retrieval in Azure cloud environments.
• Continuously monitor and fine-tune the data platform's performance to meet SLAs and optimize resource utilization, ensuring smooth and fast data access for analytical needs.
• Collaborate with cross-functional teams to understand data requirements and design scalable data solutions.
• Troubleshoot and resolve data-related issues, ensuring data quality and integrity.
• Stay updated on industry trends and advancements in data engineering to contribute to continuous improvement.

What makes you a great fit :

• Proven experience as a Data Engineer or in a similar role.
• Strong proficiency in Python and SQL for data manipulation and analysis and experience with big data technologies like Hadoop, Spark
• Hands-on experience with Azure native services, particularly Azure Data Factory, Azure SQL Database (Synapse), and Databricks.
• Proven experience in performance optimization and tuning of data pipelines and database queries.
• Solid problem-solving skills and analytical thinking to address complex data engineering challenges.
• Excellent communication skills to collaborate effectively with cross-functional teams and communicate technical concepts to non-technical stakeholders.
• Ability to work independently and as part of a team in a fast-paced environment.