Engineering Manager

Key Skills & Requirements

• Strong proficiency in Java 11 and above
• Hands-on expertise in Spring Boot and Microservices Architecture
• Strong Programming, Analytical, and Problem-Solving skills
• Proficiency with NoSQL Databases (MongoDB, Cosmos DB) and RDBMS (SQL/Oracle/Postgres)
• Experience with Messaging Queues (RabbitMQ/Kafka)
• Good understanding of Functional and Domain knowledge
• Expertise in Project Architecture & Data Flows
• Proficient in CI/CD tools (Jenkins or equivalent)
• Strong experience with Testing Frameworks: JUnit, Mockito, Cucumber, BDD
• Basic knowledge of Cloud Platforms (Azure / AWS)
• Familiarity with Project Management Tools – JIRA, Confluence, ServiceNow
• Monitoring tools knowledge like New Relic, Splunk, Nagios (good to have)

Responsibilities

• Design, develop, and maintain scalable backend applications using Java 11+ and Spring Boot
• Build and manage microservices-based solutions ensuring high performance and low latency
• Collaborate with cross-functional teams to define, design, and ship new features
• Implement best practices for CI/CD pipelines and automate deployment workflows
• Ensure code quality through unit testing, integration testing, and BDD practices
• Work with databases (SQL/NoSQL) for data modeling and optimization
• Monitor, troubleshoot, and enhance system performance using tools like Splunk, New Relic, Nagios
• Provide technical guidance and mentorship to team members

1. Achieving Enrolment targets (End to End sales)
2. Lead generation through cold calling
3. Identifying suspects and prospects.
4. Meeting & Counselling prospective students (mostly working executives in various industries)

Location: Mumbai (Dadar, Thane and Rabale)

Experience: 0-4 Years Inside Sales (Ed Tech is a plus)

Roles and Responsibilities

1.    Manage client relationships, and facilitators relationship at MHFAI for training and post-training support.

2.    Ideate, design, and implement program that focused on post-training support for mental health first-aiders.

3.    Leverage the new products of MHFAI to the clients that ensures implementation of mental health by building tools and guidelines (for organized groups).

4.    Oversee and facilitate MHFAI instructors for training and upskilling.

5.    Monitor and coordinate the MHFAI Awards program with all the stakeholders involved.

6.    Draft and initiate scientific research, and create tools required at workplace to measure mental health.

7.    Plan and manage webinars, events and activities to promote the idea of mental health at workplaces and educational institutions.

8.    Draft, design, manage and implement guidelines / resources with focus on mental health for the benefit of organized groups.

9.    Keep up-to-date with the latest trends and best practices in Learning and Development and / or mental health, and incorporate them into our training programs.

10. Manage the Learning and Development budget, ensuring that resources are allocated effectively and efficiently.

11. Provide support in other operational functions of MHFA as needed.

Requirements:

·      4-10 years in Counselling psychology and / or mental health training

·      Qualification: Education in Counselling / Medical Psychology

·      Experience in clinical work

·      Exposure to mental health training

·      Experience of having previously worked in organized group is desirable

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• Drive the architecture and design of large-scale, multi-tiered, distributed software applications, tools, systems and services using object-oriented design, distributed programming, Java/Node/ Python, .Net.
• Hands on experience in delivering high quality software products.
• Gather business and functional requirements from external and/or internal customers and end-users, and translate requirements into technical specifications to build robust, scalable, supportable solutions that work well between a ranges of complex systems.
• Serve as technical lead throughout the full development lifecycle, end-to-end, from scoping, planning, conception, design, implementation and testing, to documentation, delivery and maintenance.
• Provide design reviews for other engineers, including feedback on architecture and design issues, as well as integration, performance and scalability.
• Manage resources on multiple technical projects and ensure schedules, milestones, and priorities are compatible with technology and business goals.

1.      Core Responsibilities

·        Leading solutions for data engineering

·        Maintain the integrity of both the design and the data that is held within the architecture

·        Champion and educate people in the development and use of data engineering best practises

·        Support the Head of Data Engineering and lead by example

·        Contribute to the development of database management services and associated processes relating to the delivery of data solutions

·        Provide requirements analysis, documentation, development, delivery and maintenance of data platforms.

·        Develop database requirements in a structured and logical manner ensuring delivery is aligned with business prioritisation and best practise

·        Design and deliver performance enhancements, application migration processes and version upgrades across a pipeline of BI environments.

·        Provide support for the scoping and delivery of BI capability to internal users.

·        Identify risks and issues and escalate to Line / Project manager. 

·        Work with clients, existing asset owners & their service providers and non BI development staff to clarify and deliver work stream objectives in timescales that deliver to the overall project expectations.

·        Develop and maintain documentation in support of all BI processes.

·        Proactively identify cost-justifiable improvements to data manipulation processes.

·        Research and promote relevant BI tools and processes that contribute to increased efficiency and capability in support of corporate objectives.

·        Promote a culture that embraces change, continuous improvement and a ‘can do’ attitude.

·        Demonstrate enthusiasm and self-motivation at all times.

·        Establish effective working relationships with other internal teams to drive improved efficiency and effective processes.

·        Be a champion for high quality data and use of strategic data repositories, associated relational model, and Data Warehouse for optimising the delivery of accurate, consistent and reliable business intelligence

·        Ensure that you fully understand and comply with the organisation’s Risk Management Policies as they relate to your area of responsibility and demonstrate in your day to day work that you put customers at the heart of everything you do.

·        Ensure that you fully understand and comply with the organisation’s Data Governance Policies as they relate to your area of responsibility and demonstrate in your day to day work that you treat data as an important corporate asset which must be protected and managed.

·        Maintain the company’s compliance standards and ensure timely completion of all mandatory on-line training modules and attestations.

2.      Experience Requirements

·        5 years Data Engineering / ETL development experience is essential

·        5 years data design experience in an MI / BI / Analytics environment (Kimball, lake house, data lake) is essential

·        5 years experience of working in a structured Change Management project lifecycle is essential

·        Experience of working in a financial services environment is desirable

·        Experience of dealing with senior management within a large organisation is desirable

·        5 years experience of developing in conjunction with large complex projects and programmes is desirable

·        Experience mentoring other members of the team on best practise and internal standards is essential

·        Experience with cloud data platforms desirable (Microsoft Azure) is desirable

3.      Knowledge Requirements

·        A strong knowledge of business intelligence solutions and an ability to translate this into data solutions for the broader business is essential

·        Strong demonstrable knowledge of data warehouse methodologies

·        Robust understanding of high level business processes is essential

·        Understanding of data migration, including reconciliation, data cleanse and cutover is desirable

• Implement best practices for the engineering team across code hygiene, overall architecture design, testing, and deployment activities
• Drive technical decisions for building data pipelines, data lakes, and analyst access.
• Act as a leader within the engineering team, providing support and mentorship for teammates across functions
• Bachelor’s Degree in Computer Science or equivalent job experience
• Experienced developer in large data environments
• Experience using Git productively in a team environment
• Experience with Docker
• Experience with Amazon Web Services
• Ability to sit with business or technical SMEs to listen, learn and propose technical solutions to business problems

·       Experience using and adapting to new technologies

·       Take and understand business requirements and goals

·       Work collaboratively with project managers and stakeholders to make sure that all aspects of the project are delivered as planned

·       Strong SQL skills with MySQL or PostgreSQL

• Experience with non-relational databases and their role in web architectures desired

 Knowledge and Experience:

• Good experience with Elixir and functional programming a plus

• Several years of python experience
• Excellent analytical and problem-solving skills
• Excellent organizational skills

Proven verbal and written cross-department and customer communication skills

Ideal candidate must have :

- 2+ years of experience in writing code

- Ability to meet tight deadlines

- Can work independently and be a team contributor

- Must have good knowledge of Node, Python and Scripting languages

- Experience in one or more of RDBMS - PostgreSQL, MySQL or Oracle

- Experience with NoSQL and real-time DB - Firebase/Firestore or MongoDB

- Must be able to write concise and high-quality API

- Must be a quick learner, curious and ambitious