Engineering Manager - Data Platform (8-13 yrs)

Job Description :

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 and Mobile platforms, MoEngage technology analyzes billions of data points generated by customers and their devices to predict their behavior and engage them at every touchpoint throughout their lifecycle with personalized communication.

Responsibilities :

- Take ownership and be responsible for what you build - no micromanagement

- 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 the scale of 1.2 Billion monthly 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, and Samza and share with the team and more importantly have fun while you work on scaling MoEngage.

Requirements :

- Bachelor's / Master's Degree with a minimum of 9+ years of overall professional experience and a minimum of 1+ years' experience in managing/leading software development teams.

- Proven understanding or hands-on experience in data engineering, including the creation and management of sophisticated data pipelines, data streams, and data storage solutions.

- In-depth understanding of platform development processes, from the initial concept through to the execution and optimization stages.

- Talent for mentoring and developing a team's skills in data engineering and platform development is required.

- Proven experience in working with AWS services like S3 and Athena for data storage and query services respectively.

- Extensive experience in building high-performing APIs using Python and/or Java, and a proven history of developing common libraries.

- Solid hands-on experience with Kafka for streaming data services and Spark Jobs for batch processing is crucial.

- History of effectively navigating and managing the unique challenges and opportunities presented by data and platform

engineering projects.

- Proficiency in both functional and object-oriented programming paradigms is required.

- Proven experience with at least one of the cloud computing infrastructures - GCP / Azure / AWS, Familiarity and MongoDB is a plus.

- Liaison with Product Management, DevOps, QA, and other teams.

- Performance management, Sprint management, Roadmap, Hiring, Onboarding, Mentoring, Costing, Documenting.

- Awareness of Secure Development process and practices.

- Awareness of Information Security Concepts and Best Practices.

At MoEngage, we are passionate about our team and technology - see below to know more about us and technology.