Senior Data Engineer

A US-based company that uses machine learning and artificial intelligence to help enhance the utilization and efficiency of delivery services is looking for a Senior Data Engineer. The developer will be responsible for building and maintaining data architectures supporting ML models and analytical platforms in a production environment. The company’s proprietary application and machine learning models help organizations improve the speed and precision of their route planning and dispatching. They have managed to raise a fund of over $23 mn so far. This job presents a good opportunity for candidates to join a fast-growing company and rise quickly across verticals.

Job Responsibilities:

• Architect and develop robust data integration (ETL) pipelines using vast technologies
• Build and deliver high-quality data architecture to support the needs of business analysts, data scientists, and external customers
• Contribute to the implementation of machine learning techniques into technology architecture
• Work on improvements for various services such as reporting, analysis, automation, etc.
• Mentor and provide technical leadership to the data engineering team

Job Requirements:

• Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
• At least 3-5+ years of relevant data engineering experience
• 3+ years working as an ML Infrastructure or data engineer using Python or similar languages
• Prolific experience working with SQL, Cloud, and ETL
• Familiarity with Spark and AWS is nice to have
• Sound proficiency of Big data ecosystems and other cloud-based technologies 
• Track record of leveraging ML in applications to solve real-life issues
• Proficient understanding of data infrastructure and back-end systems
• Demonstrated experience developing ETL pipelines and solutions
• Strong communication skills to dissect complex issues and effective  problem-solving aptitude