SDE 2 - ML & Data Platform

7 Months ago • 3-10 Years • Data Analyst

Job Summary

Job Description

Dream11 seeks a skilled SDE 2 to design and build scalable data and ML platforms. Must have experience with Java/Python, database modeling, SQL, NoSQL databases, Object-Oriented Design Patterns, and messaging frameworks like Kafka.
Must have:
  • Java/Python Experience
  • Database Modeling
  • SQL & NoSQL
  • Object-Oriented Design
Good to have:
  • Kafka or MQ
  • AWS or GCP
  • Distributed Systems
  • Big Data Processing
Perks:
  • Work at Dream11
  • Impactful Work

Job Details

ML & Data Platform @Dream11:
Technology is at the core of everything we do. Our technology team helps us deliver a mobile-first experience across platforms (Android & iOS) while managing over 450 million RPM at peak with a user concurrency of over 15 million.
Building highly specialised and scalable data and ml platforms are key for driving excellence at this scale. Our Data and ML Platforms work with petabytes of data, and deliver the best user experience by running ML models at a scale of 60 million RPM. Data and machine learning is at the heart of driving product innovations and form a core tenet for all our decisions. Our platforms are built on a tech stack which is hosted on AWS & GCP with distributed systems like Spark, Flink, Cassandra, Aerospike, Akka, Voltdb, Ignite, Pulsar etc.

Your Role:

    • Analyzing requirements and designing software solutions based on first principle design patterns (e.g. Object Oriented Design and Analysis, E-R Modelling)
    • Designing and building resilient, specialized distributed systems using SQL/NoSQL databases, messaging platforms, and big-data processing frameworks
    • Deploying and configuring cloud-native software services on public cloud
    • Operating and supporting software services in production based on on-call schedules, using observability tools such as Datadog for logging, alerting, monitoring
    • Taking full ownership of services and projects, ensuring diligence in tasks and protocols, and providing clear communication on timelines, pivots, and progress

Qualifiers:

    • 3+ years of software development experience with Java/Python, including expertise in database modeling (E-R modeling), SQL, and NoSQL databases
    • 2+ years of experience with Object-Oriented Design Patterns
    • Familiarity with messaging frameworks such as Kafka or MQ
    • Experience working with AWS or any public cloud infrastructure
About Dream Sports:

Dream Sports is India’s leading sports technology company with 250 million users, housing brands such as Dream11, the world’s largest fantasy sports platform, FanCode, a premier sports content & commerce platform and DreamSetGo, a sports experiences platform.

Dream Sports is based in Mumbai and has a workforce of close to 1,000 ‘Sportans’. Founded in 2008 by Harsh Jain and Bhavit Sheth, Dream Sports’ vision is to ‘Make Sports Better’ for fans through the confluence of sports and technology.

For more information: https://dreamsports.group/

Dream11 is the world’s largest fantasy sports platform with 220 million users playing fantasy cricket, football, kabaddi, basketball, hockey, volleyball, handball, rugby, futsal, American football & baseball, on it. Dream11 is the flagship brand of Dream Sports, India’s leading Sports Technology company and has partnerships with several national & international sports bodies and cricketers.

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About The Company

Dream Sports is India’s leading sports technology company with 20 crore users, housing brands such as Dream11, the world’s largest fantasy sports platform, FanCode, a premier sports content & commerce platform, DreamSetGo, a sports experiences platform and DreamPay, a payment solutions provider. Dream Sports is based in Mumbai and has a workforce of close to 1,000 ‘Sportans’.

Founded in 2008 by Harsh Jain and Bhavit Sheth, Dream Sports’ mission is to ‘Make Sports Better’ for fans through the confluence of sports and technology. Since 2018, Dream Sports has been consistently featured as the only sports tech company in the ‘Great Places to Work’ survey.

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