
Highly Skilled Data Engineer Wanted
2 days ago
As a Data Scientist, you will play a crucial role in designing and building data systems that power innovative products.
Key Responsibilities:
- Develop and maintain optimal data architecture to ensure seamless data flow and efficient processing.
- Design and implement event-based architectures to handle real-time data processing and stream processing systems.
- Collaborate with cross-functional teams to identify and automate manual processes, optimize data delivery, and redesign infrastructure for greater scalability.
- Develop expertise in big data tools, including HDFS/S3, Spark/Flink, Hive, HBase, Kafka/Kinesis, relational SQL, NoSQL databases (Elasticsearch, Cassandra/Mongodb), and data pipeline management tools (Azkaban, Luigi, Airflow).
- Stay up-to-date with emerging technologies and industry trends to drive innovation and improvement in our data systems.
Requirements:
- Proficiency in either Scala or Python, with strong hands-on experience in Apache Spark and performance tuning/optimization.
- Expertise in DBT (Data Build Tool) for data transformations and modeling.
- Experience working with cloud services (AWS/GCP) and object-oriented/object function scripting languages (Java, Scala).
- Strong analytical skills and ability to work with structured/unstructured datasets.
- Excellent communication and collaboration skills to work effectively with cross-functional teams.
Preferred Qualifications:
- Contributions to open-source projects and/or published research papers.
- Experience working on product companies and maintaining a few weekend side projects on GitHub.
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