SENIOR DATA ENGINEER
Direct employment by the client – company employee from day one!
Hybrid work model
We are looking for a talented SENIOR DATA ENGINEER to join a growing Engineering group at a leading AI Enterprise
As a Data Engineer you will work closely with all R&D teams and business stakeholders to own the entire data process and shape the data strategy.
This is a great opportunity for someone who is passionate about cloud data infrastructure / technologies and wants to make a significant impact in a fast-paced startup environment.
Responsibilities
Design, develop and implement robust data pipelines using ETL/ELT to move data from various sources into the lakehouse while ensuring scalability, security, and performance
Ensure quality and integrity of data by implementing validations, testing and monitoring
End-to-end feature development and ownership, from design to production
Work directly with stakeholders to develop a solid understanding of the business application and requirements for which the application is being designed
Requirements
BSC in a related technical field or equivalent practical experience
Over 5 years of experience in a Data Engineering role
Coding experience with Python
Experience with SQL and NoSQL databases
Experience with data modeling, and building ELT/ETL pipelines
Experience with common data warehouse and lakehouse technologies
Experience with AWS platform
Experience working with Git, CI-CD flows and Docker
Experience building data pipelines with big data frameworks such as Spark
Technologically diverse background and ability/willingness to learn
new things quickly
Advantages
Experience working closely with data scientists / data science project (MLOps)
Experience with big data architectures and infrastructures
Experience with BI tools (Tableau, Looker, power bi etc.)
