Senior Data Science Engineer Offline

Our client is a global leader in cloud infrastructure and business mobility. With our solutions, organizations are building extraordinary experiences by mobilizing everything, responding faster to opportunities with modern data and apps hosted across hybrid clouds, and safeguarding customer trust with a defense-in-depth approach to cybersecurity.

Job Description

5+ years of experience in large scale, production, server-side development of Data Pipelines and Bigdata applications hands-on development experience with one or more Big Data technologies: Kafka, Elastic Search, AWS Kinesis, Spark etc.

experience with databases such as time series DB and SQL / NoSQL DBs.

development experience with various high-level programming languages like Go, JAVA, Python

experience with ML algorithms for both supervised and unsupervised learning

Strong experience in cloud architectures (SaaS, PaaS, IaaS, distributed systems) and continuous delivery

Familiarity with containerization solutions like Docker/Kubernetes etc.

motivated, goal driven, innovative, curious, and open-minded

expertise in machine learning technologies and distributed systems

BS/MS degree in Computer Science, or equivalent

Job Responsibilities

Design & Develop Data pipeline using Time Series DB, SQL and NoSQL DBs, Message Queues such as Kafka, AWS Kinesis, ELKs, etc. in Java or Go.

Design & Develop Interfaces & APIs for integrating with external data providers.

Design & Develop rule engines to enable various ML algorithms (such as Regressions, Clustering, Unsupervised & Supervised learning models)

Work with distributed systems & applications that may span across multiple clouds such as AWS, Azure, GCP etc.

Deploy microservices to Kubernetes using Continuous Integration and Continuous Deployment (CI/CD) systems

Work with the team and product management to review and refine delivery requirements

Write technical design documents and hold reviews

Participate in all team scrum ceremonies

Communicate with consumers of the team’s software and gather requirements and facilitate the adoption of your solutions