Senior Data Engineer
4 months ago
Qualifications
Skillsand attributes to success
- Bachelor’s degree inComputer Science, Engineering, Mathematics, or a related field; orequivalent work experience.
- 5+ years ofexperience in a Data Engineeringrole.
- Proficiency in SQL and programminglanguages like Python, Java, andScala.
- Hands-on experience with big datatechnologies like Hadoop, Spark andFlink.
- Familiarity with machine learningframeworks such as TensorFlow, PyTorch, orsimilar.
- Strong understanding of datawarehousing concepts, ETL processes, and datamodeling.
- Experience with API development andintegration with data services.
- Experience withcloud platforms like AWS, GCP.
- Knowledge inDevOps, CI/CD methods, and containerization technologies likeDocker or Kubernetes.
- Experience with real-timedata processing.
Technical stack
- Programming Languages: Python, Java,Scala, SQL, Bash
- Big Data Technologies: Hadoop,Spark, Flink
- Databases: MySQL, PostgreSQL,MongoDB, Cassandra, HBase, Redis
- CloudPlatforms: Azure
- API Development: RESTful APIs,GraphQL, OpenAPI
- Data Services: Kafka,RabbitMQ
- Containers: Docker,Kubernetes
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