Senior Real-Time Data Engineer for Big Data Environments
2 weeks ago
We are seeking a highly skilled Senior Real-Time Data Engineer to join our team at AIDA projektai, MB. This role is ideal for someone with strong expertise in working with big data and hands-on experience in managing and deploying real-time data streaming pipelines.
Key Responsibilities:- Design, implement, and manage real-time data streaming pipelines using Spark and Spark Streaming.
- Build and maintain CI/CD pipelines for deploying ML models in live frameworks.
- Collaborate with data scientists and software engineers to ensure smooth deployment of ML models.
- Work with Kubernetes and Docker to manage containerized ML applications.
- Ensure high availability and scalability of data infrastructure.
- Be available for 24/7 on-call support to troubleshoot and resolve critical issues.
- Handle and process large volumes of data, ensuring efficient data workflows.
- Implement and optimize the full ML lifecycle from data ingestion to model monitoring.
- Proficiency with Spark and Spark Streaming.
- In-depth knowledge of the ML lifecycle and experience deploying models in production environments.
- Experience with CI/CD pipelines for machine learning.
- Hands-on experience with Kubernetes and Docker for container orchestration and deployment.
- Strong experience with Python and working with real-time streaming pipelines.
- Expertise in working with big data and processing large-scale datasets.
- Experience with Scala.
- Experience with managing large, distributed systems and infrastructure.
- Must be available for 24/7 on-call support to manage and resolve production issues as they arise.
- Proven hands-on experience in big data environments.
- 3+ years of relevant experience in machine learning, data engineering, and real-time data processing.
- Ability to work in high-pressure environments with tight deadlines.
Estimated Salary: ₹15,00,000 - ₹25,00,000 per annum based on experience and qualifications.
The salary will be competitive and commensurate with the candidate's skills and experience.
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