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 Python, PySpark, SQL, and AWS. As a Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines and architectures that support our data-driven decision-making processes. You will work closely with data scientists and analysts to ensure that data is accessible, reliable, and usable for various analytical purposes. Key Responsibilities: - Develop and maintain robust data pipelines using Python and PySpark to process large datasets efficiently. - Design and implement data storage solutions using SQL and AWS services to ensure data integrity and availability. - Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs. - Monitor and optimize data workflows for performance and reliability. - Troubleshoot and resolve data-related issues in a timely manner. - Stay updated with the latest industry trends and technologies in data engineering. Required Skills: - Proficiency in Python and PySpark for data processing. - Strong knowledge of SQL for database management and querying. - Experience with AWS services related to data storage and processing. - Familiarity with Nextdata OS is a plus. - Excellent problem-solving skills and attention to detail. - Ability to work collaboratively in a team environment. If you are passionate about data engineering and want to make a significant impact in a fast-paced environment, we encourage you to apply for this exciting opportunity.