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redshift aws sql python airflow📋 Description
- Design, build and maintain scalable data architectures
- Monitor performance and root cause analysis
- Work with large, complex data sets using Big Data tech
- Use Spark, Kafka, Python, SQL, Airflow and AWS (Redshift)
- Docker and Kubernetes for deployment and scaling
- Collaborate with Portfolio Managers and Decision Scientists
🎯 Requirements
- BSc in Computer Science, Electrical Engineering or equivalent
- Real-world data pipeline design and large data processing
- Experience with Spark and Kafka streaming
- Cloud technologies, AWS preferred
- Big-data stack: Spark, Flink, Hadoop, Kafka, Kinesis, DynamoDB
- Python (preferred) or Kotlin development
- RDBMS experience: MySQL, PostgreSQL, Redshift, SQL Server
🎁 Benefits
- Collaborating with smart, engaging people in an inspiring work environment
- Working for impact
- Growing and learning continuously with encouragement and support
- Boldly taking risks as we navigate new challenges
- Flexible work practices enabling your best delivery
- Being autonomous and empowered to lead
- A stack of leading-edge technologies
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