Lead Data Engineer

About Zupee

Zupee is India’s fastest growing Technology backed Behavioral Science company. We are innovating Skill-Based Gaming with a mission to become the most trusted and responsible entertainment company in the world. We have been constantly focusing on innovation of indigenous games to entertain the mass.

Our strategy is to invest in our people & user experience to drive profitable growth and become the market leader in our space. We have been experiencing phenomenal growth since inception and running profitable at EBT level since Q3, 2020. We have closed Series B funding at $102 million, at a valuation $600 million.

The company also announced a partnership with Reliance Jio Platforms, post which Zupee games will distribute its content across all customers using Jio phones. The partnership now gives Zupee the biggest reach of all gaming companies in India, transforming it from a fast-growing startup to a firm contender for the biggest gaming studio in India.

About The Job

Lead Data Engineer

We are looking for someone to develop the next generation of our Data platform

collaborating across functions like product, marketing design, growth, strategy, customer

experience and technology.

Core Responsibilities

●Understand, implement and automate ETL and data pipelines with up-to-date

industry standards

●Hands-on involvement in the design, development and implementation of optimal and

scalable AWS services

What are we looking for?

●S/he must have experience in Python

●S/he must have experience in Big Data – Spark, Hadoop, Hive, HBase and Presto

●S/he must have experience in Data Warehousing

●S/he must have experience in building reliable and scalable ETL pipelines

Qualifications and Skills

●6-12 years of professional experience in data engineering profile

●BS or MS in Computer Science or similar Engineering stream

●Hands-on experience in data warehousing tools

●Knowledge of distributed systems such as Hadoop, Hive, Spark and Kafka etc.

●Experience with AWS services (EC2, RDS, S3, Athena, data pipeline/glue, lambda, dynamodb etc.