Senior Data Scientist Role
1 tydzień temu
Data Science UA is looking for a skilled and experienced Data Engineer to join our team. The ideal candidate will have commercial experience developing Spark Jobs using Scala and Java, and experience in data processing using traditional and distributed systems (Hadoop, Spark, AWS - S3) and designing data models and data warehouses. Strong understanding and application of data structures and algorithms in building efficient solutions is essential. Experience with SQL, NoSQL database management systems (PostgreSQL and Cassandra), messaging technologies (RabbitMQ, Kafka), orchestration software (Chef, Puppet, Ansible, Salt), and ETL workflows (Luigi, Airflow) is also required. Good knowledge working with cloud technologies (AWS, GCP) and monitoring software (ELK stack) is desirable. Motivated problem-solving skills, ability to bring ideas forward, and adapt solutions to complex challenges are necessary for success in this role.
Responsibilities:
- Design and write effective complex Spark jobs (data processes, aggregations, pipeline), complex asynchronous, highly parallel low latency APIs and processes
- Work as part of an Agile team to maintain, improve, monitor the company's data collection processes using Scala and Java
- Support the Data Science team to help deliver their machine learning models in to production environments
- Understand and apply industry practices such as TDD and SOLID
- Understand the company's data architecture and use appropriate design patterns
- Design and implement databases for relational and non-relational storage technologies
Requirements:
- Scala, SQL, Spark, AWS, RabbitMQ, Kafka, ETL, GCP, Java, Hadoop, Python
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