Job title: SDET – 2 (Data Engineering)
Company: Dreams11 Bets and sports
Job description: Technology @Dream11 Our Tech Team is the core of Dream11’s mobile-first cross-platform (Android & iOS, Mobile + Desktop PWA) product, serving more than 13 Crore users with over 140 million rpm (requests per minute) at peak with user concurrency of 7
Technology @Dream11 Our Tech Team is the core of Dream11’s mobile-first cross-platform (Android & iOS, Mobile + Desktop PWA) product, serving more than 13 Crore users with over 140 million rpm (requests per minute) at peak with user concurrency of 7 million. Our tech stack is hosted on AWS and comprises multiple distributed systems like Cassandra, Aerospike, Akka, Voltdb, Ignite etc. We have around 100+ micro-services primarily written in Java backed by vert.x framework. They serve isolated product features with discrete architectures to serve the respective use-cases. We have a completely in-house data platform built on top of Kafka, Redshift, Spark, Druid etc. supporting Terabytes of data ingestion per day and powers data analytics and machine learning use cases Your Role: Build and maintain automated testing, test environments, and test data for self-serve data platforms Builds Data validation/observability for data platforms Perform load testing, locate performance bottlenecks to create and analyse reports relating to platform performance benchmarking Identify test data requirements and generate required data to support testing Onboard team on automated framework and suites Must Have: Hands-on experience in building reusable automation test frameworks around Data platforms Good understanding of SQL Proven programming skills in Java/Scala or Python Possesses good core testing skills which involve test cases designing/strategy/data creation/troubleshooting and debugging Comfortable with build processes, CI processes, and managing scalable environments as well as working with build management tools Good to Have: Experience working with cloud platforms like AWS / GCP / Azure Exposure in testing real-time / batch ETL solutions using big data technologies (Spark/ Kafka/KSql/Flink/Hive/HDFS/NoSQL etc) Good understanding of non-functional aspects of data engineering including scaling, high availability, and consistency. More on our company: About our Benefits: We offer numerous benefits to every one of our team members a.k.a. Sportans: – Ownership (ESOP) in one of the fastest-growing startups in the world – Unlimited leaves, including one week of complete #Unplug from work – Professional learning allowance – Complimentary and healthy meals served every day – International Offsite every year for achieving company targets – Relocation budget taken care of, and additional rent coverage for living in close proximity to work Clickto go through all our benefits About our Culture : At Dream11, we DO-PUT our culture first. What’s DO-PUT, you ask Those are the five core values that completely cover how things are here! – We are data-obsessed i.e. 99% data driven work and 1% gut – We own what we do 100% as a team – We on-board high performing superstars and get out of their way – Everything we build and design is by putting our users first – Transparent communication processes is something we believe in the most Clickand get to know the Dream11 Culture Dream Sports is India’s leading sports technology company with 140 million users, housing brands such as Dream11, the world’s largest fantasy sports platform, FanCode, a premier sports content & commerce platform, Dream Capital, a CVC and M&A arm, 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. For more information:
Expected salary:
Location: Mumbai, Maharashtra
Job date: Mon, 18 Jul 2022 22:23:33 GMT
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