You will devise scalable solutions to enhance the capabilities of legal data team to analyze factual information and extract legal implications from it.
Design data analytics modeling solutions with the data science and ML engineers
Collaborate with peer engineering teams (backend & frontend developers and architects) as well as data scientists, product managers, and data analysts to understand business priorities and translate these requirements into data models.
Work with DevOps and engineers to design and implement our infrastructure.
Design data analytics modeling solutions with the data science and ML engineers
Collaborate with peer engineering teams (backend & frontend developers and architects) as well as data scientists, product managers, and data analysts to understand business priorities and translate these requirements into data models.
Work with DevOps and engineers to design and implement our infrastructure.
Requirements:
SQL expertise, working with various databases (relational and NoSQL), data warehouses, and 3rd party data sources and AWS cloud services.
4+ Years of experience as a Data Engineer / Backend Developer.
4+ Years of experience with a programming language (Python, Java, NodeJS).
Experience with designing Databases and Data pipelines and complex architecture.
English ( spoken & written).
Advantages for:
SQL expertise, working with various databases (relational and NoSQL), data warehouses, and 3rd party data sources and AWS cloud services.
4+ Years of experience as a Data Engineer / Backend Developer.
4+ Years of experience with a programming language (Python, Java, NodeJS).
Experience with designing Databases and Data pipelines and complex architecture.
English ( spoken & written).
Advantages for:
Knowledge of advanced Bigdata topics and distributed computing.
Knowledge of K8s, Docker, Spark, Elastic, and Airflow.
Familiarity with data warehousing concepts and systems.
This position is open to all candidates.
