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Full-Time

Principal Engineer

Confirmed live in the last 24 hours

Nagarro

Nagarro

10,001+ employees

Digital product engineering and technology consulting

Data & Analytics
AI & Machine Learning
Consulting

Senior, Expert

Chicago, IL, USA

Category
Backend Engineering
Software Engineering
Required Skills
Redshift
Apache Kafka
AWS
Data Analysis
Requirements
  • 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.
Responsibilities
  • 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
  • Extract best-practice knowledge, reference architectures, and patterns from these engagements for sharing with the worldwide AWS solution architect community

Nagarro specializes in digital product engineering and technology consulting, helping businesses across various sectors like automotive, banking, healthcare, and retail to modernize and innovate their operations. Their services include consulting and engineering solutions that leverage technologies such as Artificial Intelligence, Machine Learning, and Cloud Computing to address complex business challenges. Unlike many competitors, Nagarro focuses on agility and tailored solutions, enabling clients to embrace digital transformation effectively. The company's goal is to drive technology-led business breakthroughs while maintaining a commitment to sustainability and social responsibility.

Company Stage

IPO

Total Funding

N/A

Headquarters

Munich, Germany

Founded

N/A

Growth & Insights
Headcount

6 month growth

11%

1 year growth

11%

2 year growth

11%
Simplify Jobs

Simplify's Take

What believers are saying

  • Nagarro's consistent revenue growth, as evidenced by their Q1 2024 results, indicates strong financial health and stability.
  • The company's global presence and diverse client base provide ample opportunities for career growth and international exposure.
  • Initiatives like the Nagarro Innovation Challenge highlight the company's focus on fostering innovation and staying ahead in technology trends.

What critics are saying

  • The competitive landscape in digital product engineering and technology consulting is intense, requiring Nagarro to continuously innovate to maintain its market position.
  • Fluctuations in currency exchange rates can impact financial performance, as seen in their Q1 2024 results.

What makes Nagarro unique

  • Nagarro's extensive expertise across diverse industries, from automotive to healthcare, sets it apart from competitors who may focus on fewer sectors.
  • Their commitment to sustainability and social responsibility, such as planting 10,000 trees, enhances their brand image and appeal to socially conscious clients.
  • Nagarro's use of cutting-edge technologies like AI, ML, IoT, and cloud computing enables them to offer innovative solutions that address complex business challenges.