
Data Engineer
2 weeks ago
Our client, a leader in AI-powered social intelligence solutions, is looking for a dynamic Mid/Senior Data Engineer to join their team. This role offers the opportunity to work with advanced technologies, enabling seamless delivery and scaling of innovative SaaS solutions in a data-driven environment.
About the Role
We are looking for a Mid/Senior Data Engineer who will work on developing, testing and maintaining our Big Data architecture. Our ideal team member will have the proper computer science/engineering expertise, deep knowledge of data engineering principles, natural curiosity and a creative mind. We will rely on you to recommend ways to improve data reliability, efficiency and quality.
What You'll Do:
- Work on and enhance our Big Data infrastructure and services
- Join a team of experts from various fields to provide better end-user solutions
- Take full responsibility of the data processing pipeline, including data import, cleaning, storing and processing of large amounts of data
- Share knowledge and be a critical bridging actor among the various teams inside the team
- Follow best practices and keep up with emerging technologies/industry trends
- Actively contribute to taking Data Engineering of the company to the next level
What You Need to Succeed:
- Great programming skills and deep knowledge of software development principles
- Production experience with Cloud infrastructure, preferably with Azure
- Extensive experience with ELK stack (Elasticsearch 8 & Kibana)
- Deep knowledge of Python
- Extensive experience with Relational Databases and/or NoSQL systems
- Team spirit and willingness to learn from as well as mentor others
Additional Skills That Could Set You Apart:
- Experience with infrastructure as a code (IaaC) tools (pref. Terraform)
- Knowledge of any reporting ΒΙ tool (pref. PowerBI)
- Experience with Orchestration and/or ETL frameworks (e.g. Airflow)
- Basic understanding of Machine Learning & Statistical Modelling
- Working experience with Linux environment
What We Offer:
- Competitive salary
- Performance-based bonus
- Flexible Hybrid working model
- Training budget
Job Type: Full-time
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