Marketing Executive

Senior Data Engineer

Experience: 5+ years

Chennai/ Trichy (Hybrid)

Type: Fulltime

Skills: GCP + Airflow + Bigquery + Python + Docker

The Role

As a Senior Data Engineer, you own new initiatives, design and build world-class platforms to measure and optimize ad performance. You ensure industry-leading scalability and reliability of mission-critical systems processing billions of real-time transactions a day. You apply state-of-the-art technologies, frameworks, and strategies to address complex challenges with Big Data processing and analytics. You work closely with the talented engineers across different time zones in building industry-first solutions to measure and optimize ad performance.

What you’ll do

● Write solid code with a focus on high performance for services supporting high throughput and low latency

● Architect, design, and build big data processing platforms handling tens of TBs/Day, serve thousands of clients, and support advanced analytic workloads

● Providing meaningful and relevant feedback to junior developers and staying up-to-date with system changes

● Explore the technological landscape for new ways of producing, processing, and analyzing data to gain insights into both our users and our product features

● Design, develop, and test data-driven products, features, and APIs that scale

● Continuously improve the quality of deliverables and SDLC processes

● Operate production environments, investigate issues, assess their impact, and develop feasible solutions.

● Understand business needs and work with product owners to establish priorities 

● Bridge the gap between Business / Product requirements and technical details

● Work in multi-functional agile teams with end-to-end responsibility for product development and delivery

Who you are

● 3-5+ years of programming experience in coding, object-oriented design, and/or functional programming, including Python or a related language

● Love what you do and are passionate about crafting clean code, and have a steady foundation.

● Deep understanding of distributed system technologies, standards, and protocols, and have 2+ years of experience working in distributed systems like Airflow, BigQuery, Spark, Kafka Eco System ( Kafka Connect, Kafka Streams, or Kinesis), and building data pipelines at scale.

● Excellent SQL, DBT query writing abilities, and data understanding

● Care about agile software processes, data-driven development, reliability, and responsible experimentation 

● Genuine desire to automate decision-making, processes, and workflows

● Experience working with orchestration tools like Airflow

● Good understanding of semantic layers and experience in tools like LookerML, Kube

● Excellent communication skills and a team player

● Google BigQuery or Snowflake

● Cloud environment, Google Cloud Platform 

● Container technologies - Docker / Kubernetes

● Ad-serving technologies and standards 

● Familiarity with AI tools like Cursor AI, CoPilot.

We are seeking a Technical Lead with strong expertise in backend engineering, real-time data streaming, and platform/infrastructure development to lead the architecture and delivery of our on-premise systems.

You will design and build high-throughput streaming pipelines (Apache Pulsar, Apache Flink), backend services (FastAPI), data storage models (MongoDB, ClickHouse), and internal dashboards/tools (Angular).

In this role, you will guide engineers, drive architectural decisions, and ensure reliable systems deployed on Docker + Kubernetes clusters.

Key Responsibilities

1. Technical Leadership & Architecture

• Own the end-to-end architecture for backend, streaming, and data systems.
• Drive system design decisions for ingestion, processing, storage, and DevOps.
• Review code, enforce engineering best practices, and ensure production readiness.
• Collaborate closely with founders and domain experts to translate requirements into technical deliverables.

2. Data Pipeline & Streaming Systems

• Architect and implement real-time, high-throughput data pipelines using Apache Pulsar and Apache Flink.
• Build scalable ingestion, enrichment, and stateful processing workflows.
• Integrate multi-sensor maritime data into reliable, unified streaming systems.

3. Backend Services & Platform Engineering

• Lead development of microservices and internal APIs using FastAPI (or equivalent backend frameworks).
• Build orchestration, ETL, and system-control services.
• Optimize backend systems for latency, throughput, resilience, and long-term maintainability.

4. Data Storage & Modeling

• Design scalable, efficient data models using MongoDB, ClickHouse, and other on-prem databases.
• Implement indexing, partitioning, retention, and lifecycle strategies for large datasets.
• Ensure high-performance APIs and analytics workflows.

5. Infrastructure, DevOps & Containerization

• Deploy and manage distributed systems using Docker and Kubernetes.
• Own observability, monitoring, logging, and alerting for all critical services.
• Implement CI/CD pipelines tailored for on-prem and hybrid cloud environments.

6. Team Management & Mentorship

• Provide technical guidance to engineers across backend, data, and DevOps teams.
• Break down complex tasks, review designs, and ensure high-quality execution.
• Foster a culture of clarity, ownership, collaboration, and engineering excellence.

Required Skills & Experience

• 5–10+ years of strong software engineering experience.
• Expertise with streaming platforms like Apache Pulsar, Apache Flink, or similar technologies.
• Strong backend engineering proficiency — preferably FastAPI, Python, Java, or Scala.
• Hands-on experience with MongoDB and ClickHouse.
• Solid experience deploying, scaling, and managing services on Docker + Kubernetes.
• Strong understanding of distributed systems, high-performance data flows, and system tuning.
• Experience working with Angular for internal dashboards is a plus.
• Excellent system-design, debugging, and performance-optimization skills.
• Prior experience owning critical technical components or leading engineering teams.

Nice to Have

• Experience with sensor data (AIS, Radar, SAR, EO/IR).
• Exposure to maritime, defence, or geospatial technology.
• Experience with bare-metal / on-premise deployments.

About YMGrad

YMGrad is your gateway to studying abroad. We are a rapidly growing new-age social platform with a thriving community of over 300,000+ registered students pursuing international education. At YMGrad, we’re revolutionizing the overseas admissions space by combining expert guidance with a student-first approach. Join us and help shape the future of global citizens.

**Only candidates with excellent English communication skills are requested to apply.

**Experience Required: 1-5 years

** Office timings: 9 AM to 6 PM, Monday through Saturday.

Role Overview

We are seeking a Client Success Executive to join our dynamic and student-centric team. This role is perfect for someone who enjoys interacting with people, solving problems, and ensuring a smooth and positive experience for students throughout their study abroad journey. The ideal candidate will possess excellent communication skills, empathy, and a proactive attitude to deliver outstanding service and guidance. This is a full-time, on-site role, with working hours from Monday to Saturday, 9:00 AM to 6:00 PM.

Key Responsibilities

• Guide students through the entire study abroad journey — from university selection to application submission.
• Offer personalized assistance on university shortlisting, loan guidance, visa documentation, and application timelines.
• Build and maintain strong, trust-based relationships with clients, ensuring a high level of satisfaction.
• Provide post-service follow-ups to gather feedback and reviews for continuous improvement.

Qualifications and Skills

• Strong English communication skills — both written and verbal.
• Empathy, patience, and a customer-oriented mindset.
• Ability to multitask, stay organized, and manage time effectively in a fast-paced environment.

1. Develop and execute the company's content strategy, aligning it with business objectives and target audience.
2. Create and curate engaging and compelling content across assets, including packaging, ads, social media, blogs, product descriptions, website etc.
3. Ensure that the content produced reflects the appropriate tone, style, and messaging for the FMCG, Food, and Wellness industries
4. Collaborate with marketing and design teams to plan and implement content strategies
5. Take ownership and lead the management of the company's LinkedIn page to drive brand awareness and engagement on the platform.
6. Apply SEO best practices to optimize content for search engines and improve visibility and organic traffic.
7. Utilize market insights and data to identify content themes and topics that resonate with the target audience, and develop relevant content assets.
8. Explore and implement automation tools and AI technology to streamline content creation processes.
9. Monitor and analyze the performance of marketing campaigns and content initiatives
10. Take overall responsibility for brand and company communication across various mediums and channels ensuring consistent messaging and brand voice.

Responsibilities:

• Develop and implement digital marketing and branding strategies for the CEO's personal and professional brand.
• Collaborate with the CEO to develop content for social media platforms, blogs, newsletters, and other digital channels.
•  Monitor, track, and analyze the effectiveness of digital marketing campaigns and adjust strategies as needed.
• Maintain up-to-date knowledge of industry trends and competitor activity.
• Manage and optimize the CEO's online presence and reputation.
• Handle any digital crises that may occur, including negative reviews or feedback.
• Ensure all digital content is SEO optimized to increase online visibility

Linux Expert :-  

• Linux Drivers integration such as camera, radar, lidar, IMU, GNSS, V2X etc. 

• C/C++ coding on Linux ubuntu environment 

• Drivers integration with upper software layers such as DDS protocol/ROS2 framework. 

• Working on autonomous related modules 

• Diagnostics and failsafe operation implementation 

• Debugging the issues. 

• Testing the developed modules. 

• Following software processes. 

• Status update on assigned activities. 

• Training documentation or user documentation preparation. 

Expected Deliverables 

• The integration activity of sensors such as camera, radar, lidar, V2X etc. 

• Source code and related explanation provided for any possible improvements and modifications 

in the system which is required for maintenance of the code. (team work) 

• Complete open source ASAM and ODD based tools integration. (team work) 

• Detailed specifications of interfaces and protocols for inter-operability of hardware and software 

modules on   provided (team work) 

• Integration of MIL/SIL and HIL System with infrastructure (team work) 

• Clear user guidelines document for software development 

• Software Maintenance and Updates generated 

• Weekly status reports. 

• Training material and Documentation preparation for developed activities. 

Qualifications Required 

Qualifications and skills for the expert 

• Bachelor’s degree in computer or electrical or software engineering or a related discipline; 

• Excellent command over English (reading, writing, speaking); 

• Good command

• Working experience in developing Linux applications. 

• C, C++ programming and Bash scripting. 

• Working experience with embedded Linux. 

• Knowledge on NVIDIA GPU processors and automotive ECU development 

• Developing Open Source software. 

• Knowledge/experience on python, computer vision, CUDA, PyTorch, image processing, ROS2, 

DDS, ADAPTIVE Autosar. 

• Developing software modules as assigned by expert in the area of autonomous and connected 

technology. 

General professional experience is required for the expert 

• Minimum 3 years of professional industrial experience in the area of robotics and autonomous car 

platform. 

Specific professional experience is required for the expert 

• Must be minimum 2 years’ experience software development experience pertaining to autonomous 

and connected car systems or ADAS applications.