Investment product Manager

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

Subject Matter Expert also referred to as SME, is a person who has special skills or knowledge on a particular job or topic. An SME is considered an expert on a certain topic – not only educated on the subject but has the capacity to share their knowledge with other team members.

Qualification for SME Insurance:

1. 3-5 experience in the insurance industry
2. Experience in insurance products (all products including life, health & general) and processes and the insurance industry chain
3. Bachelor’s degree (or equivalent)
4. English: Fluent

Roles and responsibilities

1. Strong Process & product knowledge of the Insurance products
2. Keeping up-to-date with industry developments. Offer solutions and suggestions for process and product improvement to management.
3. Responsible for facilitating OJT for the new joiners on all Insurance related products and processes. 
4. Help in designing a best-in-class customer support and engagement journey for insurance products.
5. Liaise with different stakeholders/partners for quicker resolution of customer inquiries and requests.
6. Ability to take ownership and work for early resolution and closure of customer issues.
7. Ability to accept change and make the best of any situation.
8. Proactive in highlighting/ escalating issues/ concerns/ Areas Of Improvements/ opportunities to the leadership team to get their help as and when needed
9. Handling and monitoring of all complaints received through all mediums through tracking in defined TATs
10. Ensure that complaint closure quality (RCA) is tracked closely by ensuring first understanding all the issues highlighted by the customer. Maintenance of all RCAs and process improvements undertaken for relevant complaints
11. Keeping up to date with all the regulatory requirements and changes in the Insurance industry

Bachelor's degree in Computer Science or a related field, or equivalent work experience

Strong understanding of cloud infrastructure and services, such as AWS, Azure, or Google Cloud Platform

Experience with infrastructure as code tools such as Terraform or CloudFormation

Proficiency in scripting languages such as Python, Bash, or PowerShell

Familiarity with DevOps methodologies and tools such as Git, Jenkins, or Ansible

Strong problem-solving and analytical skills

Excellent communication and collaboration skills

Ability to work independently and as part of a team

Willingness to learn new technologies and tools as required

JOB DESCRIPTION:

• Experience range – 4 to 7 years

• Good understanding of software engineering practices, SDLC.
• Strong in analytical, design and problem-solving skills, with a strong desire to create new things, dive in wherever there’s a need and learn new things
• Hands-on experience in Java / J2EE application development using open-source frameworks like Spring.
• Experience in unit test frameworks like JUnit
• Need to optimize code and test programming modules
• Excellent Object-Oriented Analysis & Design skills.
• Must have experience in Software design using design patterns. Exposure to technical solutions will be an advantage
• Must have experience in relational database technologies with experience on databases such as PostgreSQL, MySQL
• Strong proficiency with Java programming - Must have experience on Micro-Services using Spring boot.
• Good to have experience in JavaScript
• Good to have previously worked on distributed systems
• Good to have a working knowledge of Redis
• Good to have exposure to stream processing and functional programming
• Strong sense of ownership and accountability.
• Excellent communication and teamwork skills

ROLES & RESPONSIBILITIES:

• Lead a team of 4- 8 engineers closely with complete authority and accountability to deliver high-quality software products in a fast-paced environment.
• Lead your team to design and develop applications based on Microservices architecture.
• Guide your team members on the latest technologies including Java, Spring, Spring-Boot, Angular, Hibernate, Redis, Hazelcast, Bootstrap, jQuery etc.
• Leverage development tools including AWS, GIT, Nginx, Jira, Confluence, Jenkins etc.
• Collaborate with other technical managers, architects, and product owners to build an integrated enterprise-class software product suite

Skills

• Java, Spring Boot – Must, Spring Data, ReactJS, DevOps, HTML5, CSS3, JavaScript ES6 & above – Good to have

• Build our strategic affiliate network through recruiting new affiliate & Influencer partners and actively managing relationships with our existing strategic partners, to provide quality business leads and cost-effective Lead acquisition.
• Setup, tracking, reporting, and manage affiliate program activity.
• Full management of lifecycle marketing for affiliate & Influencer
• partners.
• Generate monthly, weekly and quarterly reports along with analysis
• Ensure invoicing and payment schedules are current and on time, providing forecasting support for the business.
• Continually measure and optimize the overall program ROI
• Doing industry research and sourcing opportunities for overall business development
• Build a repository for effective sales pitches.
• Meet monthly, quarterly, annual revenue targets

Desired Profile of the candidate

• A self-starter who's comfortable working autonomously
• Experience in using affiliate tracking platforms
• Ahead for numbers, easily able to extract key insights from data
• Has to experience in creating pivots and using MS Excel overall
• Team player with a drive to help other people
• Ability to analyze data and give recommendations
• Work with multiple stakeholders for the flow of information and business process
• A passion for achieving targets

Looking for a go-getter, an ideal candidate with an entrepreneurial mindset, happy to wear multiple hats and jiggle between tasks.

Responsibilities:

• Day to day activities will include sales pitches, customer onboardings, Whatsapp Bot management, understanding customer pain points & devise quick hacks to resolve, be highly data-centric.
• Establish/Discover b2b strategic partnerships, carry out experiments, and do an analysis of conversions WoW, Customer acquisition cost, and so on.
• Definitely an interesting role to work on, opportunity to collaborate and learn multiple areas of operations and extensive knowledge capital.