Data Engineering Trainee null

We are looking for a passionate Data Engineering Trainee. The successful candidate will turn data into information, information into insight, and insight into business decisions.

Build an effective data architecture, streamline data processing, and maintain large-scale data systems. In addition to working with Python, you’ll also grow your language skills as you work with Shell, SQL, and Scala, to create data engineering pipelines, automate common file system tasks, and build a high-performance database.

Add cloud and big data tools such as AWS Boto, PySpark, Spark SQL, and MongoDB, to your data engineering toolkit to help you create and query databases, wrangle data, and configure schedules to run your pipelines.

Responsibilities

• Study and transform data science prototypes
• Design machine learning systems
• Research and implement appropriate ML algorithms and tools
• Develop machine learning applications according to requirements
• Select appropriate datasets and data representation methods
• Run machine learning tests and experiments
• Perform statistical analysis and fine-tuning using test results
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
• Keep abreast of developments in the field. 

Requirements

• Experience in data mining
• Understanding of machine-learning and operations research.
• Knowledge of R, SQL, and Python.
• Experience using business intelligence tools (e.g. Tableau) and data frameworks
• Analytical mind and business acumen
• Strong math skills (e.g. statistics)
• Problem-solving aptitude
• Excellent communication and presentation skills
• BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred