Prestigious Investment Bank seeks an Data Engineer's to their global project driven by business demand to enhance the firms data modelling and technical data infrastructure
Tasks:
- Development of new capabilities in data warehouses and pipelines in most complex data environments
- Apply data modeling techniques to organize and transform data into meaningful and valuable output
- Coordinate with key stakeholders
- Analyze and model data and metadata to support ad-hoc and pre-built reporting
- Improve the reliability, flexibility, and scalability of our existing tools
- Engage in processes ensuring the highest security standards in controlling data access
- Improve existing patterns and frameworks for quickly aggregating millions of raw data records into actionable metrics
Requirements:
- Experience with big data tools: Hadoop, Spark, Kafka, etc.
- Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
- Experience with Cloud services (AWS, GCP or Azure)
- Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.