Data Engineer

We are seeking a skilled Data Engineer to join our dynamic team. The ideal candidate will have a strong background in data engineering, with expertise in technologies such as PySpark, Azure, and Databricks. As a Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines that support our data analytics and business intelligence initiatives. You will work closely with data scientists and analysts to ensure that data is accessible, reliable, and ready for analysis. Key Responsibilities: - Develop and maintain robust data pipelines using PySpark and Azure services. - Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs. - Optimize data processing workflows for performance and efficiency. - Monitor and troubleshoot data pipeline issues to ensure data quality and reliability. - Implement best practices for data governance and security. - Stay updated with the latest trends and technologies in data engineering and cloud computing. Required Skills: - Proficiency in PySpark and experience with Azure cloud services. - Familiarity with Databricks and its functionalities. - Strong understanding of data modeling, ETL processes, and data warehousing concepts. - Ability to work with large datasets and perform data transformations. - Excellent problem-solving skills and attention to detail. - Strong communication skills to collaborate effectively with team members and stakeholders. If you are passionate about data engineering and eager to work in a fast-paced environment, we encourage you to apply for this exciting opportunity.