Data Engineer

We are seeking a versatile Data Engineer with a strong background in data analysis, proficient in Python and SQL, and adept at performance optimization. The ideal candidate will have hands-on experience with AWS services, particularly Redshift, and demonstrate a proactive, self-starting attitude. 
Responsibilities
• Develop and maintain scalable data pipelines for efficient data ingestion, processing, and analysis. • Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business objectives. • Perform thorough data analysis to derive insights, identify trends, and support decision-making processes. • Optimize query performance and data processing workflows to enhance system efficiency and reduce latency. • Utilize Python and SQL to manipulate, transform, and cleanse data as needed. • Stay updated with emerging technologies and best practices in data engineering and analysis. 
Requirements
• Bachelor’s degree in computer science, Engineering, or related field; advanced degree preferred. • Proven experience in data engineering with a strong emphasis on data analysis. • Proficiency in Python and SQL for data manipulation, querying, and scripting. • Familiarity with AWS services such as S3, EC2, Redshift, Glue, etc. • Experience optimizing performance and scalability of data pipelines and databases. • Strong problem-solving skills and ability to work independently with minimal supervision. • Excellent communication and collaboration skills, with the ability to articulate complex technical concepts to non-technical stakeholders. • Self-motivated and proactive, with a passion for continuous learning and improvement