Data Engineer

3 Months ago • All levels • Data Analysis

Job Summary

Job Description

As a Data Engineer at WinZO, you will create and manage BI and analytics solutions. You will be responsible for enhancing the business intelligence system to facilitate better decision-making. You will be working in a fast-paced environment, requiring initiative, ownership of multiple projects, and driving execution with stakeholders. Responsibilities include building and operating highly available, distributed systems for data extraction, ingestion, and processing of large datasets. The role involves designing, tuning, and scaling batch and real-time stream analytics and large data processing systems. You'll research and recommend frameworks, design patterns, and identify areas for improvement in existing code and processes. You will also design, build, and deploy internal applications to support the product lifecycle, data, and business intelligence.
Must have:
  • Experience with ETL/CDC pipelines.
  • Proficient with Spark Internals.
  • Proficient with Kafka Internals.
  • Proficient in programming languages like Java/Scala/Python.
  • Good understanding of transactional and NoSQL Databases.
  • Experience in a cloud environment (AWS/GCP/Azure).
Good to have:
  • Working knowledge of MongoDB/Apache Kafka/Unix shell scripting/Apache Cassandra.
  • Good to have proficiency with Linux and systems administration.
  • Experience troubleshooting data quality issues.
Perks:
  • A flat and transparent culture.
  • Opportunity to solve new and challenging problems.
  • 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.

Job Details

About WinZO Games

WinZO is India’s largest social gaming platform aiming at building an astronomical tech strong gaming ecosystem in India. WinZO in a short span of time has emerged as the leanest Series C funded gaming startup in the Indian startup ecosystem. WinZO has so far raised over $100MM and handles more than 5+ Bn micro transactions monthly, a number which is fast growing. WinZO with a data driven DNA is working towards becoming the one-stop-shop for online gaming users spread across every household in Bharat. With a vision of becoming a household name for Bharat, catering to their entertainment needs through interactive engagements, Paavan Nanda (Co-Founder, WinZO, Zostel & ZO Rooms) and Saumya Singh Rathore (Co-Founder, WinZO, Ex-Chief of Staff & Growth- ZO Rooms, Zostel, Ex-Times Group), are aggressively building the platform to not just capture market opportunities but also explore and maximize potential of social interactions as consumption drivers. Both of them are putting together WinZO piece by piece using tech and data to create a transparent and unique gaming experience for its users.

WinZO, which hosts 100+ games in 12+ languages, has 80% users consuming the app in vernacular languages. WinZO has always yearned to mentor, guide and onboard games to be culturally relevant for Bharat. It also provides opportunities for housewives to translate and earn which empowers them economically. A 200+ members strong team with stellar professionals coming from global tech giants and companies such as Google, Amazon, Flipkart, McKinsey etc., WinZO is funded and backed by global gaming and entertainment investment funds such as Griffin Gaming Partners, Maker’s Fund, Courtside Ventures, Pags Group and Kalaari.

WinZO is continually working towards revolutionizing the gaming ecosystem by creating a complete entertainment package through a slew of interactive features. Speaking of the larger picture the platform is driving unique initiatives that are constantly attempting to nurture and groom developers.

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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About The Company

New Delhi, Delhi, India (On-Site)

India (On-Site)

New Delhi, Delhi, India (On-Site)

New Delhi, Delhi, India (On-Site)

New Delhi, Delhi, India (On-Site)

New Delhi, Delhi, India (On-Site)

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