To help us go to the next level we are looking to onboard a hands-on SME in leveraging big data tech to solve the most complex data issues. You will spend almost half of time with hands-on coding.
It involves large scale text data processing, event driven data pipelines, in-memory computations, optimization considering CPU core to network IO to disk IO.
You will be using cloud native services in AWS and GCP.

Solid grounding in computer engineering, Unix, data structures and algorithms would enable you to meet this challenge.
Designed and built multiple big data modules and data pipelines to process large volume.
Genuinely excited about technology and worked on projects from scratch.

7+ years of hands-on experience in Software Development with a focus on big data and large data pipelines.
Minimum 3 years of experience to build services and pipelines using Python.
Expertise with a variety of data processing systems, including streaming, event, and batch (Spark, Hadoop/MapReduce)
Understanding of at least one NoSQL stores like MongoDB, Elasticsearch, HBase
Understanding of how data models, sharding and data location strategies for distributed data stores in large scale high-throughput and high-availability environments and their effect in non-structured text data processing
Experience with running scalable & high available systems with AWS or GCP.

Big Data Lead

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