Data Engineers
Data Engineers help organizations develop their strongest data pipeline architecture. The role involves a wide range of technical skills that allow data teams to develop, maintain, and test infrastructures for data generation. Data Engineers can help organizations optimize data and discover insights that can lead to customer acquisition, operational efficiency, and many other business KPIs.
Supporting a variety of teams across the organization, Data Engineering streamlines complex data sets into actionable items. It requires the ability to create the infrastructure required for the most optimized extraction, transformation, and loading of data from a variety of sources using big data technologies. With careful planning and execution, the Data engineer can build an efficient data pipeline that ultimately aids in the organization’s ability to further optimize its biggest goals.
Finding a qualified Data Engineer isn’t easy. Bamboo Crowd has over 10 years of experience hiring Data Engineers for corporates, consultancies, startups, new ventures, accelerators, and incubators. Our network of talent ranges from junior practitioners right the way through to Chief Data Officers.
Job
Titles
Data Engineer, Lead Data Engineer, Head of Data Engineering, Backend Engineer, Senior Backend Engineer, Head of Engineering, Lead Backend Engineer, Engineering Manager, Senior Backend Manager, Software Engineer, Senior Software Engineer, ML Engineer
Technologies
& Skills
ETL/ELT, Amazon Redshift, Snowflake, Analytics, Java, Python, JavaScript, TypeScript, C#, PHP, Laravel, Express.js, Django, Spring Boot, Node.js, Ruby on Rails, Python, SQL Server, Oracle Database, MySQL, AngularJS, React, AWS, Machine Learning