Blurgs
https://blurgs.aiAbout
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The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Job Title: Data Engineer
Location: Hyderabad
About us:
Blurgs AI is a deep-tech startup focused on maritime and defence data-intelligence solutions, specialising in multi-modal sensor fusion and data correlation. Our flagship product, Trident, provides advanced domain awareness for maritime, defence, and commercial sectors by integrating data from various sensors like AIS, Radar, SAR, and EO/IR.
At Blurgs AI, we foster a collaborative, innovative, and growth-driven culture. Our team is passionate about solving real-world challenges, and we prioritise an open, inclusive work environment where creativity and problem-solving thrive. We encourage new hires to bring their ideas to the table, offering opportunities for personal growth, skill development, and the chance to work on cutting-edge technology that impacts global defence and maritime operations.
Join us to be part of a team that's shaping the future of technology in a fast-paced, dynamic industry.
Job Summary:
We are looking for a Senior Data Engineer to design, build, and maintain a robust, scalable on-premise data infrastructure. You will focus on real-time and batch data processing using platforms such as Apache Pulsar and Apache Flink, work with NoSQL databases like MongoDB and ClickHouse, and deploy services using containerization technologies like Docker and Kubernetes. This role is ideal for engineers with strong systems knowledge, deep backend data experience, and a passion for building efficient, low-latency data pipelines in a non-cloud, on-prem environment.
Key Responsibilities:
- Data Pipeline & Streaming Development
- Design and implement real-time data pipelines using Apache Pulsar and Apache Flink to support mission-critical systems.
- Develop high-throughput, low-latency data ingestion and processing workflows across streaming and batch workloads.
- Integrate internal systems and external data sources into a unified on-prem data platform.
- Data Storage & Modelling
- Design efficient data models for MongoDB, ClickHouse, and other on-prem databases to support analytical and operational workloads.
- Optimise storage formats, indexing strategies, and partitioning schemes for performance and scalability.
- Infrastructure & Containerization
- Deploy, manage, and monitor containerised data services using Docker and Kubernetes in on-prem environments.
- Performance, Monitoring & Reliability
- Monitor the performance of streaming jobs and database queries; fine-tune for efficiency and reliability.
- Implement robust logging, metrics, and alerting solutions to ensure data system availability and uptime.
- Identify bottlenecks in the pipeline and proactively implement optimisations.
Required Skills & Experience:
- Strong experience in data engineering with a focus on on-premise infrastructure.
- Strong expertise in streaming technologies like Apache Pulsar, Apache Flink, or similar.
- Deep experience with MongoDB, ClickHouse, and other NoSQL or columnar storage databases.
- Proficient in Python, Java, or Scala for data processing and backend development.
- Hands-on experience deploying and managing systems using Docker and Kubernetes.
- Familiarity with Linux-based systems, system tuning, and resource monitoring.
Preferred Qualifications:
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or an equivalent combination of education and experience.
Additional Responsibilities for Senior Data Engineers :
For those hired as Senior Data Engineers, the role will come with added responsibilities, including:
- Leadership & Mentorship: Guide and mentor junior engineers, sharing expertise and best practices.
- System Architecture: Lead the design and optimization of complex real-time and batch data pipelines, ensuring scalability and performance.
- Sensor Data Expertise: Focus on building and optimizing sensor-based data pipelines and stateful stream processing for mission-critical applications in domains like maritime and defense.
- End-to-End Ownership: Take responsibility for the performance, reliability, and optimization of data systems.
Compensation:
- Data Engineer CTC: 4 - 8 LPA
- Senior Data Engineer CTC: 12 - 16 LPA
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
MongoDB
Angular (2+)Associate Software Developer
Location: Hyderabad
Job Type: Full-time, In-Office
Department: Software Development
Blurgs AI is a deep-tech startup specializing in data-intelligence solutions for the maritime and defense sectors. The company's main product, Trident, enhances domain awareness for these industries by integrating data from various sensors like AIS, Radar, SAR, and EO/IR.
Blurgs AI has a collaborative, innovative, and inclusive work culture. They encourage new hires to contribute their ideas and offer opportunities for personal and professional growth. The company's goal is to solve real-world challenges using cutting-edge technology that has a global impact.
Role and Responsibilities
In this role, you will work in an on-premises environment to develop and maintain software solutions. You will use FastAPI, MongoDB, Angular + TypeScript, and Docker to build these solutions.
Your responsibilities will include:
- Developing back-end services using FastAPI and MongoDB.
- Building and enhancing front-end applications with Angular and TypeScript.
- Using Docker for containerization and deployment.
- Collaborating with the team to deliver software solutions.
Requirements
- A Bachelor's degree in Computer Science or a related field (or equivalent experience).
- Freshers with experience in FastAPI, MongoDB, Angular + TypeScript, and Docker are encouraged to apply.
- Strong problem-solving skills and a willingness to learn.
The position is offered as a 12-month contract.
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