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 and be proficient in various technologies that facilitate data processing and analysis. As a Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines that support our data-driven decision-making processes. Key Responsibilities: - Develop and maintain robust data pipelines using Python and PySpark to ensure efficient data processing and transformation. - Collaborate with data scientists and analysts to understand data requirements and deliver high-quality datasets. - Utilize AWS services to deploy and manage data solutions in the cloud, ensuring scalability and reliability. - Write complex SQL queries to extract and manipulate data from various sources, ensuring data integrity and accuracy. - Monitor and optimize data workflows for performance and efficiency, troubleshooting any issues that arise. - Stay updated with the latest industry trends and technologies related to data engineering and cloud computing. Required Skills: - Proficiency in Python and experience with data processing libraries such as PySpark. - Strong knowledge of AWS services related to data storage and processing. - Experience with SQL and database management. - Familiarity with data modeling and ETL processes. - Ability to work collaboratively in a team environment and communicate effectively with stakeholders. If you are passionate about data and have the skills to drive impactful data solutions, we encourage you to apply for this exciting opportunity.