Data Engineer

Role & Responsibilities

Take end-to-end ownership of critical backend services — from architecture and development to deployment and scale.

Design systems for performance, reliability, and observability. Identify bottlenecks and eliminate them proactively.

Collaborate with product and design to deeply understand user pain points and build the right solutions.

Work independently and own complex modules with minimal oversight.

Champion clean, maintainable code and help set a high bar for engineering excellence across the team.

Stay up-to-date with new tools, technologies, and backend trends — and bring the best ideas into our stack.

Ideal Candidate

2+ years of backend development experience, ideally with Kotlin and Spring Boot (or willingness to ramp up quickly).

You’ve worked in fast-moving teams and thrive when given room to figure things out.

You take initiative and can drive complex modules to completion without needing constant guidance.

Strong with both low-level and high-level design; you know how to build scalable, reliable RESTful APIs.

Proficient with relational databases and aware of common performance pitfalls.

Confident with debugging and optimizing — memory leaks, latency issues, and other hard-to-find problems don’t scare you.

You write clean, testable code and know how to leave systems better than you found them.

You bring a product mindset — caring not just about what’s built, but why and how it delivers value to users.

Responsibilities :

• Design and develop user-friendly web interfaces using HTML, CSS, and JavaScript.
• Utilize modern frontend frameworks and libraries such as React, Angular, or Vue.js to build dynamic and responsive web applications.
• Develop and maintain server-side logic using programming languages such as Java, Python, Ruby, Node.js, or PHP.
• Build and manage APIs for seamless communication between the frontend and backend systems.
• Integrate third-party services and APIs to enhance application functionality.
• Implement CI/CD pipelines to automate testing, integration, and deployment processes.
• Monitor and optimize the performance of web applications to ensure a high-quality user experience.
• Stay up-to-date with emerging technologies and industry trends to continuously improve development processes and application performance.

Qualifications :

• Bachelors/master's in computer science or related subjects or hands-on experience demonstrating working understanding of software applications.
• Knowledge of building applications that can be deployed in a cloud environment or are cloud native applications.
• Strong expertise in building backend applications using Java/C#/Python with demonstrable experience in using frameworks such as Spring/Vertx/.Net/FastAPI.
• Deep understanding of enterprise design patterns, API development and integration and Test-Driven Development (TDD)
• Working knowledge in building applications that leverage databases such as PostgreSQL, MySQL, MongoDB, Neo4J or storage technologies such as AWS S3, Azure Blob Storage.
• Hands-on experience in building enterprise applications adhering to their needs of security and reliability.
• Hands-on experience building applications using one of the major cloud providers (AWS, Azure, GCP).
• Working knowledge of CI/CD tools for application integration and deployment.
• Working knowledge of using reliability tools to monitor the performance of the application.

Job Overview

We are looking for a Senior Analyst who has led teams and managed system operations.

Key Responsibilities

1. Lead and mentor a team of analysts to drive high-quality execution.
2. Design, write, and optimize SQL queries to derive actionable insights.
3. Manage, monitor, and enhance Payment Governance Systems for accuracy and efficiency.
4. Work cross-functionally with Finance, Tech, and Operations teams to maintain data integrity.
5. Build and automate dashboards/reports to track key metrics and system performance.
6. Identify anomalies and lead root cause analysis for payment-related issues.
7. Define and document processes, SOPs, and governance protocols.
8. Ensure compliance with internal control frameworks and audit readiness.

Requirements

We require candidates with the following qualifications:

1. 3–5 years of experience in analytics, data systems, or operations.
2. Proven track record of leading small to mid-size teams.
3. Strong command over SQL and data querying techniques.
4. Experience with payment systems, reconciliation, or financial data platforms.
5. Analytical mindset with problem-solving abilities.
6. Ability to work in a fast-paced, cross-functional environment.
7. Excellent communication and stakeholder management skills.

We’re seeking a highly skilled, execution-focused Data Scientist with 4–10 years of experience to join our team. This role demands hands-on expertise in fine-tuning and deploying generative AI models across image, video, and audio domains — with a special focus on lip-sync, character consistency, and automated quality evaluation frameworks. You will be expected to run rapid experiments, test architectural variations, and deliver working model iterations quickly in a high-velocity R&D environment.

Responsibilities

• Run end-to-end fine-tuning experiments on state-of-the-art models (Flux family, LoRA, diffusion-based architectures, context-based composition).
• Develop and optimize generative AI models for audio generation and lip-sync, ensuring high fidelity and natural delivery.
• Extend current language models to support regional Indian languages beyond US/UK English for audio and content generation.
• Enable emotional delivery in generated audio (shouting, crying, whispering) to enhance realism.
• Integrate and synchronize background scores seamlessly with generated video content.
• Work towards achieving video quality standards comparable to Veo3/Sora.
• Ensure consistency in scenes and character generation across multiple outputs.
• Design and implement an automated objective evaluation frameworks to replace subjective human review — for cover images, video frames, and audio clips. Implement scoring systems that standardize quality checks before editorial approval.
• Run comparative tests across multiple model architectures to evaluate trade-offs in quality, speed, and efficiency.
• Drive initiatives independently, showcasing high agency and accountability. Utilize strong first-principle thinking to tackle complex challenges.
• Apply a research-first approach with rapid experimentation in the fast-evolving Generative AI space.

Requirements

• 4-10 years of experience in Data Science, with a strong focus on Generative AI.
• Familiarity with state-of-the-art models in generative AI (e.g., Flux, diffusion models, GANs).
• Proven expertise in developing and deploying models for audio and video generation.
• Demonstrated experience with natural language processing (NLP), especially for regional language adaptation.
• Experience with model fine-tuning and optimization techniques.
• Hands-on exposure to ML deployment pipelines (FastAPI or equivalent).
• Strong programming skills in Python and relevant deep learning frameworks (e.g., TensorFlow, PyTorch).
• Experience in designing and implementing automated evaluation metrics for generative content.
• A portfolio or demonstrable experience in projects related to content generation, lip-sync, or emotional AI is a plus.
• Exceptional problem-solving skills and a proactive approach to research and experimentation.

Benefits

• Best in class salary: We hire only the best, and we pay accordingly.
• Proximity Talks: Meet other designers, engineers, and product geeks — and learn from experts in the field.
• Keep on learning with a world-class team: Work with the best in the field, challenge yourself constantly, and learn something new every day.

About us

Proximity is the trusted technology, design, and consulting partner for some of the biggest Sports, Media, and Entertainment companies in the world! We’re headquartered in San Francisco and have offices in Palo Alto, Dubai, Mumbai, and Bangalore. Since 2019, Proximity has created and grown high-impact, scalable products used by 370 million daily users, with a total net worth of $45.7 billion among our client companies.

Today, we are a global team of coders, designers, product managers, geeks, and experts. We solve complex problems and build cutting-edge tech, at scale. Our team of Proxonauts is growing quickly, which means your impact on the company’s success will be huge. You’ll have the chance to work with experienced leaders who have built and led multiple tech, product, and design teams.

Be a part of the fitness tech revolution by joining BunkerFit and help shape the active lives of 100 Mn Indians. BunkerFit is the only All-in-One vernacular fitness app of India.

Role:

• Develop data-driven dashboards
• Create stunning looking mobile apps
• Turn data to actions and insights at production level web & mobile applications
• Prior knowledge mobile app dev will be a plus.

MoEngage is a fast-paced startup that’s helping companies run smart marketing efforts in their effort to reach the customer. We are a leading Marketing Technology Stack provider that is helping brands redefine their customer engagement in the mobile era. Brands use MoEngage to drive long-term, personalised and context-based engagement across channels to help achieve increased customer retention as well as customer LTV. Sitting at a conflux of diverse technologies like Artificial Intelligence, Big Data, Web & Mobile platforms, MoEngage technology analyses billions of data points generated by customers and their devices, to predict customer behavior and build marketing campaigns that proactively engage users.

In just four years since inception, MoEngage is working with leading brands across e-commerce, entertainment, travel, publishing and banking domains among others. With marquee clients like Vodafone, Oyo, Airtel, McAfee, MoEngage has over 125+ paying Customers in the Enterprise & Internet companies space in India, US, South East Asia & EU. With a global presence spanning 35 countries, MoEngage has offices in San Francisco, Berlin, Jakarta, and Bengaluru.

Today, MoEngage is an industry pioneer in the space and engages more than 350M devices. This includes approximately 40B events tracked per month, 30B+ messages sent, to millions of users across the globe.

As part of the Engineering team at MoEngage, here are some things you can expect:

• Take ownership and be responsible for what you build - no micro management
• Work with A players (some of the best talent in the country), and expedite your learning curve and career growth
• Make in India and build for the world at scale of 350M active users, which no other internet company in the country has seen
• Learn together from different teams on how they scale to millions of users and billions of messages. 
• Explore the latest in topics like Data Pipeline, MongoDB, ElasticSearch, Kafka, Spark, Samza and share with the team 

and more importantly have fun while you work on scaling MoEngage.

Push team is one of the core teams at MoEngage, responsible for sending close to a billion notifications everyday to help clients engage their users better. As a member of the Push team, you will be working on developing high performance solutions to deliver personalised and context-based notifications across various channels to help achieve increased customer retention as well as customer LTV. You will also be working on designing and building features to help clients to provide customised experience for end users allowing them to have a more personalised experience at scale. Here you will have a chance to own systems and develop features end to end i.e right from inception to deployment. Though we work at scale, reliability is of utmost importance for us and we build in house solutions like Campaign Watcher & AutoBatchRunner to ensure 100% transparency and delivery of notifications

• Proven experience in handling large infrastructure and distributed systems
• Familiarity with Python related technologies and frameworks like Django or Pyramid.
• Familiarity with at least one of the cloud computing infrastructure - GCP / Azure / AWS
• Familiarity with task queue frameworks like Celery or Pika is a plus.
• Tech Stack - Python, Falcon, Elastic Search, MongoDB, AWS (SQS S3), Linux, Map Reduce