Offer summary
Qualifications:
Proven industry experience in data engineering or analytics, More than 2 years of experience with Spark and data pipelines, Bachelors/Masters degree in quantitative fields, Expertise in Azure, SQL, and orchestration tools, Strong analytical and design skills.
Key responsabilities:
- Build and support non-interactive real-time data pipelines
- Develop fault-tolerant and adaptive data computational pipelines
- Lead implementation of complex programs
- Maintain documentation for assigned systems and projects
- Perform root cause analysis on software issues