MoEngage is an insights-led customer engagement platform, trusted by 1,200+ global consumer brands. As a Great Place to Work Company we are a young, fast-paced and intelligent customer engagement platform that fosters a culture of innovation, ownership, freedom, and fun while building future-ready technology products. Sitting at a conflux of diverse technologies like Artificial Intelligence, Big Data, Web & Mobile platforms, MoEngage technology analyzes billions of data points generated by customers and their devices in order to predict their behavior and engage them at every touchpoint throughout their lifecycle with personalized communication.
In just eight years since our inception, we have worked with leading Fortune 500 brands such as Deutsche Telekom, Samsung, Ally Financial, AirTel, and McAfee along with internet-first brands such as Flipkart, Ola, OYO, and Bigbasket, with a global presence that encompasses 35 countries. We currently have offices in San Francisco, Boston, London, Dubai, Ho Chi Minh city, Bangkok, Kuala Lumpur, Singapore, Sydney, Vietnam, Berlin, Jakarta, and Bengaluru.
The care we give to our customers is quite high! Our achievement of top service and support ratings in Gartner's Magic Quadrant, Gartner Peer Insights, and G2 Summer Reports is a testament to that. Another commendable quality is our people-centric culture, as we have recently been included in Battery Ventures' top 25 private cloud computing companies. As recognized by the DivHERsity Awards, we are one of the top 20 diversity companies in the world, while the Economics Times names us as one of the Top Organizations for Women.
Will you be able to thrive in a fast-paced environment where innovation, speed, and customer-centric thinking are the norm? Is it your passion to uncover opportunities others are unaware of and to champion them? Do you crave ownership and a chance to be a part of something that matters? If so, this may be a worthwhile opportunity for you!
Data Team at MoEngage operates highly-available RESTful web-services to ingest millions of events per minute rolling up to billions of events. We build and maintain highly scalable and reliable data pipelines to process user traits generated by millions of users every day from all over the world. Our systems handle ~3 million rpm at peak. These requests generate close to 2 billion MongoDB interactions per day with a peak of 5 million per minute.
As a member of the Data team, you will be working with cutting-edge data engineering and distributed computing problems, work on improving throughput, reducing latency and maintaining uptime of data pipeline and web services, work on writing test-driven code for processing TBs of data in a multi-region distributed systems.
Here are some of the challenging projects we are working on as part of Data team.
Scaling the current data pipeline to handle 4X of the present scale within the next one year.
Moving from batch-oriented processing to near-real-time processing engine.
Building performance monitoring systems for databases, web services and processing engine.
2-4 years of proven experience in coding for scalable data ingestion pipeline.
Expert in Java (or) Python-related technologies and frameworks.
Must have the ability to take accountability and ownership of modules he owns.
Experience in Data processing technologies like Flink, Kafka, Spark/Storm/Samza is a plus.
Familiarity with at least one of the cloud computing infrastructure - GCP / Azure / AWS.
Tech Stack - Java, Python, Flink, Kafka, MongoDB, AWS,
Roles and Responsibilities:
Thinking big and executing with great focus with a milestone-based approach rather than Big bang.
Coding by keeping scale, high availability, and cost-efficient in mind.
Ability to learn, adopting great tech processes and tools.
Owning problem statements and solutions built to solve it.
Open to work on the polyglot tech stack
At MoEngage, we are passionate about our team and technology - see below to know more about us and technology.
