You are extremely technical and passionate about building systems that handle large amounts of data (100s of Terabytes)
You make architectural decisions and take accountability for them. Evaluate and evangelize tools and technologies required to improve data processing systems and engineering productivity
You work at all levels of the data stack from low-level disk-IO optimization, to high-level distributed data flows
You promote best practices around data representation, sanitization, retrieval, storage and processing at scale
You are an individual contributor but also serves as a mentor for more junior engineers
At-least 6+ years of experience working with Big Data technologies on linux stack. Examples include Hadoop related technologies, Pig, Kafka, Storm, Spark etc.
Prior experience in handling TBs of data in both real-time and batch manner
Prior experience in using No-SQL stores (eg: Redis, AeroSpike) and building indexes for low-latency retrieval
Strong programming experience in at least one language, preferably Java or Go.
Experience with ad-tech industry is a plus
What do we offer?
You get valuable insights into mobile marketing/entrepreneurship and have a high impact on shaping the expansion and success of AppLift across India
Profit from working with European Serial Entrepreneurs who co-founded over 10 successful companies within the last 8 years and get access to a well-established network and be able to build your own top-tier network & reputation
Learn and grow in an environment characterized by flat hierarchy, entrepreneurial drive and fun