Data Engineer
Data Engineering, Full Time
New Delhi, India
About WinZO Games
Founded in 2018, WinZO is India’s largest social gaming and interactive entertainment platform, with 250 million global users and a portfolio of over 100 competitive games across multiple e-sports and social gaming formats. By creating an alternative distribution model for developers, content creators, and entrepreneurs, WinZO helps global creators monetize at scale, while championing the rise of ‘Made in India’ content on the world stage.
WinZO Values:
Integrity, Excellence Perseverance, Fine Judgement, Agility
About the Role:
As a Data Engineer at WinZO, you will create and manage BI and analytics solutions that turn data into knowledge. You will also be responsible to enhance the business intelligence system to help us make better decisions. You will be working in a fast-paced environment which will require you to take initiatives with complete ownership, manage multiple projects, and drive execution with stakeholders.
What you will do:
•Responsible for building and operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
•Working on designing, performance/scalability tuning of batch and real time stream analytics and large data processing systems
•Research and recommend frameworks and architectural/code design patterns for large scale data processing and identify areas of improvements within the existing code and processes
•Design, build and deploy internal applications to support our product life cycle, data and business intelligence, among others.
•Optimize data delivery and re-design infrastructure for greater scalability
•Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Apache Spark, Hadoop and AWS technologies
•Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
•Work with internal and external stakeholders to assist with data-related technical issues and support data infrastructure needs
What you should have:
We’re looking for people with a hustler mindset, who are curious, eager to learn new things, with a passion for innovation, and work to be a little better every single day. This is not solely based on whether a candidate has previously done similar work or not. We’re looking for someone dynamic with below qualities in generous quantities to perform well in this role –
• B.Tech/B.E in Computer Science, IT, or similar field;
• Experience working with ETL/CDC pipelines, Data Warehousing tools
• Proficient with Spark Internals and decent work ex on BigData Engineering.
• Proficient with Kafka Internals
• Proficient in any programming languages e.g. Java/Scala/Python
• Decent hold of Hive/SQL
• Good Understanding of Transactional and Nosql Databases
• Experience working with big data and database, especially Apache Spark and Hive/Hadoop
• Experience in a cloud environment.(AWS/GCP/Azure)
• Good to have proficiency with Linux and systems administration
• Experience working with both structured and unstructured data paradigms
• Experience troubleshooting data quality issues, analyzing data requirements
• Understanding around event driven architecture, REST api's.
• Good to have working knowledge of MongoDB/Apache Kafka/Unix shell scripting/Apache Cassandra
What We Offer You:
- A flat and transparent culture with an incredibly high learning curve
- Opportunity to solve new and challenging problems with a high level of innovation
- Full product ownership and the chance to conceptualize and implement your solutions
- Opportunity to work with amazing colleagues across all departments and be part of the technological revolution
At our core, we’re a creative company. Ideas are where we live, and we love building magical products. It’s not just about features, it’s also about how they make people feel. So, we build at the intersection of the technical and the romantic. And it all starts with people, the right team that cares deeply about our mission, values, and our users. We value diversity. We are an equal opportunity employer: we do not discriminate based on race, color, religion, gender, ethnicity, or disability status
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