Senior Data Engineer - ETL/Apache Flink

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