Recherche actuelle

Job Description

The role requires expertise in Data Warehouse/Data Lake platforms, relational, and NoSQL databases, along with big data skills. Responsibilities involve building and improving data platforms, collection systems, and processing pipelines. Tasks include coordinating development efforts across platforms and data integration between systems.

Role & Responsibilities

* Coding to create solutions, prototypes, and contribute to development work
* Designing, building, moving, and stabilizing Data Warehouse/Data Lake platforms
* Analyzing different types of data to optimize relevant information
* Ensuring coordination between engineering and analytical tasks
* Improving platform performance, monitoring, and troubleshooting
* Guiding team members on data optimization, code deployment, and query enhancement tasks

Desired Skills & Qualifications

* Professional expertise in developing backend systems, SQL, and data modeling
* Hands-on coding skills and knowledge of database technologies such as Amazon Redshift and MongoDB Opensource
* Proficiency in Python scripting and experience with ETL processes using Amazon Glue
* Familiarity with building and optimizing Data Warehouse/Data Lake platforms like Amazon S3 and Amazon Lake Formation
* Experience with ETL tools, cloud-based data solutions, and various types of databases
* Knowledge in dimensional modeling, scripting languages, and OLTP database solutions
* Experience managing the entire lifecycle of data engineering projects using Scrum methodology
* Effective communication skills and familiarity with Agile or Lean Software Development
* Self-motivated with strong project management abilities

Benefits

* A fantastic work environment that encourages empowerment, meaningful contributions, and continuous learning.
* Flexible time-off policy
* Comprehensive benefits package, (medical, dental, vision, and life insurance)
* Company-matched 401(k) retirement savings plan