
Chief Data Architecture Specialist
23 hours ago
Our ideal candidate has 3+ years of experience in data engineering and holds a strong understanding of data pipelines.
Main Responsibilities:- We are looking for someone to design and implement event-based architectures, focusing on scalability and efficiency.
- The successful candidate will be responsible for creating and maintaining optimal data pipeline architecture, identifying areas for improvement and implementing solutions.
- Additionally, they will work closely with the analytics team to build data tools that enhance product development.
- A strong background in either Scala or Python is required, along with expertise in Spark and performance tuning.
- The ideal candidate will have hands-on experience with DBT (Data Build Tool) for data transformations and modeling.
- They should possess a solid knowledge of big data tools: HDFS/S3, Spark/Flink, Hive, Hbase, Kafka/Kinesis.
- Familiarity with relational SQL and NoSQL databases, including Elasticsearch and Cassandra/Mongodb, is also essential.
- A basic understanding of cloud services: AWS/GCP is necessary.
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