Our tech team is the core of Dream11’s mobile-first cross-platform (desktop + mobile PWA, android & iOS) product serving more than 8+ Crore users with over 50 million rpm (requests per minute) at peak concurrency.
Our tech stack is hosted on AWS and is built on Cloudfront / AWS API Gateway, NGINX, Node.js / Java, Redis / ElastiCache and MySQL / Cassandra as our end to end stack. Besides these, we heavily use MongoDB, Kinesis, Kafka, RabbitMQ, Spark, Redshift and other cutting edge tech to keep improving Dream11's performance. As a data-driven team, we also use R, Python and other big data technologies for Machine Learning and Predictive Analytics.
Build real-time and batch analytics platform for analytics & machine-learning
Get to work with an experts in field of data and develop solutions keeping the growing scale & business requirements in mind
As an integral part of the Data Engineering team, be involved in the entire development lifecycle from conceptualisation to implementation
Basic understanding of real-time/batch processing big data solutions (Spark, Kafka, KSql, MapReduce, Yarn, Hive, HDFS etc)
Basic knowledge of developing applications that work with NoSQL stores (e.g., ElasticSearch, HBase, Cassandra)
Hands on experience on SQL
Proven programming experience in core Java
Experience in AWS cloud
Good to Have:
Loves sports and have worked previously in a high-growth tech start
The year was 2012. India was the reigning Cricket World Champion, Manchester City won the league with the last kick of the season, and the country was ready to fall in love with sports all over again.
Two young avid sports fans, Harsh Jain & Bhavit Sheth, launched Dream11: India’s first Fantasy Sports Platform.
They started from scratch to make Dream11 the new language of sports for over 2 crore sports fans, helping them to showcase their skill and knowledge!
Our mission is to be India’s most trusted fantasy sports platform, and we’re only getting started.