Principal Engineer

Posted 7 Hours Ago
Be an Early Applicant
Chicago, IL
Senior level
Artificial Intelligence • Information Technology • Machine Learning • Software • Virtual Reality • Analytics
The Role
As a Principal Engineer, you will understand customer requirements to develop architectural models that operate at scale, create architecture briefs for applications, and advise customers on deploying systems on AWS. You'll lead teams, validate architecture patterns, and share best practices with the AWS solution architect community.
Summary Generated by Built In

Company Description

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (19000+ experts across 34 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

Job Description

  • Understand customer requirements and render those as architectural models that will operate at large scale and at high performance
  • Create and validate the prepared architecture patterns, validate them against non-functional requirements and finalize the build model.
  •  
  • Prepare architecture and design briefs that outline the key features and decision points of the application built in the Data Lab
  • Work with customers to advise on changes as they put these systems live on AWS 25. Extract best-practice knowledge, reference architectures, and patterns from these engagements for sharing with the worldwide AWS solution architect community

Qualifications

  • AWS Certification, eg. AWS Solutions Architect, AWS Developer, or AWS Certified Big Data – Specialty (Data Analytics Speciality)
  • Experience in creating architectural proposals.
  • Must have experience in leading teams and interacting with clients to gather requirements.
  • Must have led a team of developers with diverse skillset (Big Data , Reporting and Database architecture).
  • Experience with Statistics, Machine Learning and Predictive Modelling.
  • Well experience on other AWS services EC2, EMR, Redshift, S3, Streaming services like Kafka, Kinesis, HDFS.
  • Experience with Starburst ecosystem, Experience with Dagster as an orchestration.
  • Experience with developing data models in Data Build Tool (dbt) and configuration based ETL pipeline development.
  • Track record of implementing AWS services in a variety of business environments such as large enterprises and start-ups.
  • Knowledge of foundation infrastructure requirements such as Networking, Storage, and Hardware Optimization.

Additional Information

Nagarro is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will be afforded equal employment opportunities without discrimination based on race, creed, color, national origin, sex, age, disability, or marital status.

Top Skills

AWS
Aws Certified Big Data Specialty
Aws Developer
Aws Solutions Architect
Dagster
Dbt
Ec2
Emr
Hdfs
Kafka
Kinesis
Redshift
S3
The Company
19,994 Employees
Remote Workplace
Year Founded: 1996

What We Do

Nagarro helps future-proof your business through a forward-thinking, fluidic, and CARING mindset. We excel at digital engineering and help our clients become human-centric, digital-first organizations, augmenting their ability to be responsive, efficient, intimate, creative, and sustainable. Today, we are 19,000 experts across 36 countries, forming a Nation of Nagarrians, ready to help our customers succeed.

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