Senior Data Engineer
1 week ago
Qualifications
Skills and attributes to success:
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field; or equivalent work experience.
- 5+ years of experience in a Data Engineering role.
- Proficiency in SQL and programming languages like Python, Java, and Scala.
- Hands-on experience with big data technologies like Hadoop, Spark and Flink.
- Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or similar.
- Strong understanding of data warehousing concepts, ETL processes, and data modeling.
- Experience with API development and integration with data services.
- Experience with cloud platforms like AWS, GCP.
- Knowledge in DevOps, CI/CD methods, and containerization technologies like Docker or Kubernetes.
- Experience with real-time data processing.
Programming Languages: Python, Java, Scala, SQL, Bash
Big Data Technologies: Hadoop, Spark, Flink
Databases: MySQL, PostgreSQL, MongoDB, Cassandra, HBase, Redis
Cloud Platforms: Azure
API Development: RESTful APIs, GraphQL, OpenAPI
Data Services: Kafka, RabbitMQ
Containers: Docker, Kubernetes
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