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, Databricks, and Google Cloud Platform (GCP). 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. Key Responsibilities: - Develop and maintain robust data pipelines using PySpark and Databricks to ensure efficient data processing and transformation. - Collaborate with data scientists and analysts to understand data requirements and deliver high-quality datasets. - Implement data integration solutions on Google Cloud Platform, ensuring data availability and reliability. - Monitor and optimize data workflows for performance and scalability. - Troubleshoot and resolve data-related issues in a timely manner. - Document data processes and maintain data quality standards. Required Skills: - Proficiency in PySpark and Databricks for data processing and analytics. - Experience with Google Cloud Platform (GCP) services related to data engineering. - Strong understanding of data modeling, ETL processes, and data warehousing concepts. - Ability to work collaboratively in a team environment and communicate effectively with stakeholders. - Problem-solving skills and attention to detail. If you are passionate about data engineering and eager to work in a fast-paced environment, we encourage you to apply. Join us in leveraging data to drive business success.