Stanra - Senior Data Engineer - Apache Spark
3 weeks ago
Urgent Requirement : Senior Data Engineer
Location : Trivandrum or Chennai (Hybrid working arrangement)
Work Schedule : Normal working hours
Experience : 7+ years
Key Requirements :
- Proven experience in real-time and batch data processing with Apache Flink or Apache Spark
- Expertise in workflow orchestration using Temporal IO or similar frameworks
- Proficiency in Java and Spring Boot
- Strong experience building RESTful APIs
- In-depth knowledge of NoSQL databases such as MongoDB or Cassandra
- Familiarity with cloud platforms (AWS) and containerization technologies :
- Design, develop, and maintain high-performance, scalable data streams using Apache Kafka, ensuring efficient and fault-tolerant data transmission across distributed systems
- Implement and manage real-time and batch data processing workflows with Apache Flink or Apache
Spark, optimizing for performance and resource utilization
- Troubleshoot, debug, and optimize existing data pipelines to improve data throughput, reduce latency, and enhance overall pipeline reliability
- Build and maintain robust and efficient data pipelines that integrate seamlessly with various data sources, including NoSQL databases like MongoDB or Cassandra
- Work closely with cross-functional teams to gather and understand requirements, translating them into scalable and efficient data solutions
- Create and manage RESTful APIs for seamless data communication between systems, ensuring security, performance, and reliability
- Implement and maintain best practices for data security, governance, and compliance within data systems
- Collaborate with cloud engineers to ensure proper deployment of data solutions in cloud environments (AWS), optimizing for scalability, cost-efficiency, and high availability
- Design and develop containerized solutions using Docker to ensure portability and seamless deployment of data applications across environments
- Continuously evaluate emerging data technologies, frameworks, and tools, and propose improvements to existing data architecture and workflows
Why Join Us ?
- Work on innovative, cutting-edge data projects
- Grow your career with learning and mentorship opportunities
- Collaborate in a dynamic, team-oriented environment
- Make an impact with data-driven solutions
- Enjoy a flexible hybrid working arrangement
- Work with the latest tech stack: Apache Kafka, Flink, Spark, AWS, Docker
- Competitive salary and benefits
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