Senior Data Engineer
2 weeks ago
Description :
Key Responsibilities :
- Design, build, and optimize robust data streaming and batch processing pipelines using Apache Flink.
- Develop scalable and efficient ETL processes and data models to support analytical and operational needs.
- Work closely with cross-functional teams to integrate data engineering solutions with other platforms and applications.
- Implement and maintain data pipelines on streaming platforms such as Apache Kafka or Apache Pulsar.
- Ensure high availability, performance, and security of data processing systems.
- Participate in code reviews, design discussions, and mentoring junior team members.
- Employ CI/CD best practices for continuous integration and deployment of data engineering workflows.
- Collaborate within Agile teams to deliver high-quality software on time.
Mandatory Skills & Qualifications :
- Bachelors or Masters degree in Computer Science, Engineering, or a related field.
- 7 years of experience in data engineering roles with a strong focus on Apache Flink.
- Proficiency in Java or Scala; Python is a plus.
- Hands-on experience with streaming platforms such as Apache Kafka or Apache Pulsar.
- Deep understanding of stream processing and batch processing paradigms.
- Experience in building and maintaining ETL pipelines, data modeling, and working with distributed systems.
- Familiarity with CI/CD pipelines, version control systems like Git, and Agile methodologies.
- Strong analytical, problem-solving, and communication skills
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