Job Description
As a Senior Data Engineer you will be responsible for implementing methods to improve data reliability and quality, creating architectures for new projects that enable data extraction and transformation for modeling as well as selecting the appropriate tech stack associated with it. You will plan out the develop cycles deploying AGILE methodologies as well as creating the foundations for good data stewardship with our new data products! You will also set up a solid code framework that needs to be built to purpose yet have enough flexibility to adapt to new business use cases, a tough but rewarding challenge!
What you’ll get:
An amazing, holistic experience in deploying full scale data products, end-to-end, making the decisions and helping with implementations from start to finish.
Responsibilities
Analyze and organize raw data
Build data systems, pipelines, analytical tools and programs
Evaluate business needs and objectives
Conduct complex data analysis and report on results
Prepare data for modeling
Interpret trends and patterns
Combine raw information from different sources
Explore ways to enhance data quality and reliability
Collaborate with data scientists and business analysts
Mentor junior resources.