Lori is seeking a hands-on Data Engineer to join our Tech team. You will be tasked with transforming data into a format that can be easily analyzed, by developing, maintaining, and testing pipelines and infrastructures for data generation and movement. You will work closely with our data scientist and will be largely in charge of architecting solutions that will enable them to better do their jobs.
Automate moving data between internal systems and apps
Automate moving of data from the AWS ecosystem to the BI (Periscope)
Creating and Monitoring Cron jobs
Build and maintain Data pipelines
Build and maintain scrappers and pipe the data to data lakes and the BI
Integrate up-and-coming data management and software engineering technologies into existing data structures
Develop set processes for data mining, data modeling, and data production
Employ an array of technological languages and tools to connect systems together
Collaborate with members of the Tech team (e.g. Back End, Tech Ops, Front End, data scientists) on the project’s goals
Building and maintaining APIs
Automating movement of transactional data (using web hooks) between systems
Discover opportunities for data acquisition
Operationalize Machine Learning Models
Build and Maintain Machine Learning Pipelines.
Bachelor’s degree in Computer Science, Software/Computer or any Engineering discipline, Applied Mathematics, or Physics Statistics or Experience in a related field with real-world skills and testimonials from former employers
Possible work experience or personal projects that will form proof of technical expertise and skill mastery
Intellectual curiosity to find new and unusual ways of solving data management issues
Mindset of a team player
Working knowledge of bSQL, NoSQL, AWS, Python, Relevant Python libraries and frameworks for data engineering.
Qualified applicants are invited to email their CV to Lori Careers team at firstname.lastname@example.org