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Senior Data Engineer
3 months ago
Job Description
- Write and optimize complex database queries and views to ensure efficient data retrieval and processing.
- Develop and maintain Java APIs for data integration and processing tasks.
- Utilize Apache Beam for building data processing pipelines.
Big Data and Stream Processing:
- Gain exposure to Apache Flink for stream processing and real-time data analytics.
- Work with Kafka for data streaming and integration with other systems.
Cloud and Containerization:
- Work with Google Cloud Platform (GCP) to deploy, manage, and scale cloud-based applications.
- Utilize Kubernetes for container orchestration and management of microservices.
DevOps and Automation:
- Implement and manage DevOps practices using tools such as Ansible, Jenkins, Terraform, and Packer.
- Develop and maintain Jenkins pipelines for continuous integration and delivery (CI/CD).
- Use Git for source control management, including branching, merging, and pull requests.
Troubleshooting and Communication:
- Apply advanced troubleshooting skills to diagnose and resolve complex issues in development and production environments.
- Communicate effectively with team members and stakeholders, both verbally and in Extensive experience in writing and tuning database queries and views.
- Strong proficiency in Java and experience with API development.
- Hands-on experience with Apache Beam for data processing.
- Exposure to Apache Flink, Kafka, and real-time data streaming.
- Proven experience with GCP and Kubernetes.
- Proficiency with DevOps tools including Ansible, Jenkins, Terraform, Packer, and Git.
Technical Skills :
- Advanced knowledge of Jenkins, including pipeline creation, build, and release processes.
- Expertise in Git source control management.
- Familiarity with big data processing and streaming technologies