Senior Full Stack Developer @ Deloitte - Princeton, NJ

Job Overview

2 months ago

Senior Full Stack Developer

Deloitte - Princeton, NJ

Do you thrive on developing creative and innovative insights to solve complex challenges? Want to work on next-generation, cutting-edge products and services that deliver outstanding value and that are global in vision and scope? Work with other experts in your field? Work for a world-class organization that provides an exceptional career experience with an inclusive and collaborative culture?
Want to make an impact that matters? Consider Deloitte Global.

Work you'll do:

As the Senior Full Stack Developer, you will bring your expertise in building high performing micro-services and REST APIs using Microsoft .Net Core, Java, and Node. Additionally, your deep understanding of Big Data / Analytics technologies like Apache Spark, Kafka, Data Lakes, and running/consuming machine learning models. We are developing innovative solutions that leverage the latest technologies in open source and the cloud and are building a team of top-notch software engineers to create our next generation Big Data Analytics and Machine Learning platform.

You’ll be joining a team responsible for using cutting-edge technologies to modernize our data acquisition, data processing workflows, data analytics, and automation methods. You should be passionate about technology and love learning new technologies and implementing high quality, highly scalable global solutions. We want you to bring your excitement and technical expertise to deliver high quality work and continuously improve the ways we can better leverage Big Data Analytics and Machine Learning. Most importantly you should bring new thinking, love technology, and be excited to help us take our vision to the next level.

Key Responsibilities:

  • Responsible for design and development of high performing micro-service style server applications, REST APIs and distributed processing systems using Spark/Scala.
  • Analyzes business/ functional requirements and prepares development project schedule, tasks, and estimates
  • Identify and build automated solutions for the acquisition, processing and management of data that would otherwise require manual effort
  • Build distributed, scalable, and reliable data pipelines that ingest and process data at scale
  • Build the API layer to access Machine Learning Models
  • Ensures application design, development schedule, and implementation meet or exceed documented application scope/timeline, while adhering to established standards
  • Mentor junior development staff in the art of building software systems.
  • Bring new ideas in cloud, big data, and machine learning software development
  • Leverage industry knowledge and stay close to technology developments in the open-source and cloud communities

This is just the beginning of Big Data Analytics and Machine Learning and we need you to help us define the future and get us there – a huge opportunity awaits!

What you'll be part of - our Deloitte Global Culture:

At Deloitte, we expect results. Incredible—tangible—results. And Deloitte Global professionals play a unique role in delivering those results. We reach across disciplines and borders to serve our global organization. We are the engine of Deloitte. We develop and implement global strategies and provide programs and services that unite our network.

In Deloitte Global, everyone has opportunities. We see the importance of your perspective and your ability to create value. We want you to fit in—with an inclusive culture, focus on work-life fit and well-being, and a supportive, connected environment; but we also want you to stand out—with opportunities to have a strategic impact, innovate, and take the risks necessary to make your mark.

Who you'll work with:

Global Technology Services works at the forefront of technology development and processes to support and protect Deloitte around the world. In this truly global environment, we operate not in "what is" but rather "what can be" to help Deloitte deliver and connect with its clients, its communities, and one another in ways not previously conceived.

How you'll grow:

Deloitte Global inspires our people at every level. We believe in investing in you, helping you at every step of your career, and helping you identify and hone your unique strengths. We encourage you to grow by providing formal and informal development programs, coaching, and mentoring. We want you to ask questions, take chances, and explore the possible.

Benefits you'll receive:

Deloitte’s Total Rewards program reflects our continued commitment to lead from the front in everything we do — that’s why we take pride in offering a comprehensive variety of programs and resources to support your health and well-being needs. We provide the benefits, competitive compensation, and recognition to help sustain your efforts in making an impact that matters.

Corporate Citizenship:

Deloitte is led by a purpose: to make an impact that matters. This purpose defines who we are and extends to relationships with our clients, our people, and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities.

Required Experience

  • BS or higher degree in Computer Science/Engineering or related field
  • Experience with Big Data / Analytics technologies like Hadoop, Spark, Python, Scala, R, Machine Learning
  • Experience exposing Machine Learning Models using REST APIs
  • Experience designing and building highly concurrent and high volume REST APIs using Microsoft .Net Core using C#
  • Experience in addressing concerns with big data management (Governance, Role Based Access Control using LDAP etc.)
  • Must have solid foundation in data structures, algorithms, design patterns
  • Experience with continuous delivery and using agile techniques
  • Experience with statistical platforms is a plus, such as R and SAS

Preferred Experience

  • Knowledge of Azure components like Azure Data Lake Store, SQL Server, HDInsight, Web Jobs, Functions, Key vault, Data Factory
  • Experience with NoSQL databases like MongoDB
  • Experience with caching technologies like Redis
  • Knowledge of React, ExpressJS, Node
  • Experience with other visualization tools is a plus, such as Tableau

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