Data Engineer II

Bayer Zydus Pharma

2 - 7 years

9 - 13 Lacs

bengaluru

Posted:22 hours ago| Platform:

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Skills Required

supply chain dso data modeling eclipse data structures unit testing data mining apache bioinformatics analytics

Work Mode

Work from Office

Job Type

Full Time

Job Description

YOUR TASKS AND RESPONSIBILITIES:

Be a critical member of a data engineering team focused on creating distributed analysis capabilities around a large variety of datasets
Take pride in software craftsmanship, apply a deep knowledge of algorithms and data structures to continuously improve and innovate
Work with other top-level talent solving a wide range of complex and unique challenges that have real world impact
Explore relevant technology stacks to find the best fit for each dataset
Deliver technical initiatives in collaboration with other engineers
Project your talent into relevant projects. Strength of ideas trumps position on an org chart

WHO YOU ARE:

Experience developing and launching a software product or significant feature written in Go
Experience building and maintaining data-intensive APIs using a RESTful approach
Experience with stream processing using Apache Kafka
A level of comfort with Unit Testing and Test Driven Development methodologies
Familiarity with creating and maintaining containerized application deployments with a platform like Docker
Familiarity with deploying to and working with Kubernetes cluster infrastructure
A proven ability to build and maintain cloud based infrastructure on a major cloud provider like AWS, Azure or Google Cloud Platform
Experience data modeling for large scale databases, either relational or NoSQL
Proficiency in verbal and written English language, capable of connecting with diverse individuals, actively listening to their needs, and supporting meaningful analysis for better decision-making.

Good to Have:

Experience with protocol buffers and gRPC
Experience with: Google Cloud Platform, Apache Beam and or Google Cloud Dataflow, Google Kubernetes Engine
Experience working with scientific datasets, or a background in the application of quantitative science to business problems
Bioinformatics experience, especially large scale storage and data mining of variant data, variant annotation, and genotype to phenotype correlation

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