• Design, develop, and sustain data pipelines that convert and integrate various data sources into consolidated data sets for comprehensive analysis.<\/p>
• Work closely with data scientists and analysts to provide dependable data solutions that meet their specific requirements.<\/p>
• Maintain data quality and accuracy through the application of data validation and cleansing methodologies.<\/p>
• Enhance the performance of data storage and processes to improve the overall efficiency of the system.<\/p>
• Produce thorough documentation for data pipelines, data processing methods, and data architectures.<\/p>
• Keep up-to-date with the latest industry standards and emerging technologies in the field of data engineering.<\/p>
• Bachelor’s degree in Computer Science, Data Science, or a related discipline.
• 3+ years of experience as a Data Engineer or in a similar role.
• Proficient in programming languages such as Python or Java and experience with ETL tools.
• Strong knowledge of SQL and experience with relational and NoSQL databases.
• Familiarity with cloud services and big data technologies (AWS, Azure, Hadoop).
• Excellent problem-solving skills and ability to work effectively in a team environment.