Senior Data Engineer
4 days ago
Job Description:
Are you a seasoned Scala developer with a passion for data streaming? Do you have at least 5 years of experience working on data streaming frameworks like Apache Kafka, Apache Flink, or Apache Spark Streaming? If so, we want to hear from you
Key Responsibilities:
- Lead the design, development, and maintenance of real-time data streaming applications using Scala.
- Architect and implement high-performance, scalable data processing pipelines.
- Collaborate with cross-functional teams to gather requirements and deliver robust solutions.
- Optimize and tune streaming applications for maximum performance and reliability.
- Mentor junior developers and provide technical guidance to the team.
- Stay current with industry trends and integrate best practices into the development process.
- Troubleshoot and resolve issues in the data streaming infrastructure.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Minimum of 5 years of professional experience in Scala development.
- Extensive experience with data streaming frameworks such as Apache Kafka, Apache Flink, or Apache Spark Streaming.
- Proficiency in data processing frameworks like Apache Spark.
- Solid understanding of distributed systems and microservices architecture.
- Experience with containerization technologies (Docker) and orchestration tools (Kubernetes).
- Strong problem-solving skills and ability to work in a fast-paced environment.
- Excellent communication and teamwork abilities.
Preferred Qualifications:
- Experience with cloud platforms (AWS, Google Cloud, Azure).
- Knowledge of data storage solutions (HDFS, Cassandra).
- Familiarity with machine learning and data science concepts.
- Contributions to open-source projects related to data streaming and big data.
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