Data Engineer

Posted 7 Days Ago
Be an Early Applicant
Montvale, NJ
5-7 Years Experience
Software
The Role
The Data Engineer will develop advanced AI solutions, process large data sets, and create prototypes using algorithms. Responsibilities include data organization, real-time business analytics, and collaborating with data scientists. The role requires developing efficient Python code, using Azure tools, and ensuring best practices in data management.
Summary Generated by Built In

Orion Innovation is a premier, award-winning, global business and technology services firm.  Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity.  We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education.


Job Description:

Our AI & Digital Innovations teams bring the latest GenAI techniques plus a deep understanding of industry dynamics and corporate functions to help clients create the most value from data. Involved in specific engagements involving the building of new, bespoke advanced AI solutions for clients and internally. Leveraging your knowledge of algorithms, data structures, and performance optimism and experience with processing and interpreting data sets. Responsible for developing and translating computer algorithms into prototype code and maintaining, organizing, and identifying trends in large data sets. Proficiency in SQL database design and creating process documentation. Familiarity with the computer coding languages python, Azure Synapse to oversee real-time business metric aggregation, data warehousing and querying, schema and data management, and related duties. Develop technical solutions to improve access to data and data usage. Understand data needs and advise company on technological resources. Collaborating closely with other data scientists, machine learning engineers, and stakeholders to understand the project's objectives and translate these into innovative, data-driven solutions.

Skills:   

Azure Data Engineer - We are looking for a Mid-level Azure Data Engineer with a minimum of 5 years of experience working in Data science projects, preferably GenAI projects. 

An ideal candidate will have following qualifications:

  • Hands on experience with Azure Data Factory, Azure Databricks and Fabric for data integration and real-time analytics.
  • Design, develop, and implement a high-performance Python coding with a focus on efficiency, scalability, and performance.
  • Create a robust and reusable code using Python that can independently generate creative content and directly contribute to the project's goals
  • Familiarity with data modeling, warehousing, and ETL development processes.
  • Expert level on using standard ML libraries such as Numpy and Pandas
  • Advanced level on using ML frameworks PyTorch/TensorFlow on Azure cloud ecosystem.
  • Collaborate closely with data scientists, machine learning engineers, and other stakeholders to understand their requirements and translate these into data-driven solutions
  • Troubleshoot, debug, and resolve any issues that occur within the generative AI system development, ensuring that the models perform optimally.
  • Background on Unit, Integration, and System testing.  Conduct tests and experiments to enhance the performance of overall system and document the results for further improvements.
  • Conduct code reviews, assist other developers, and train team members, as required
  • Ensure that developed system comply with industry standards and best practices, and that they meet the project's requirements.
  • Document all processes, specifications, and training procedures, and maintain stringent version control to ensure the high quality, accuracy, and replicability of generative models.
  • Work independently and a team player.
  • Be creative and dynamic in advancing newer ideas.
  • Azure certification would be a plus

Education: A university degree is preferred

Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law.

Candidate Privacy Policy

Orion Systems Integrators, LLC and its subsidiaries and its affiliates (collectively, “Orion,” “we” or “us”) are committed to protecting your privacy. This Candidate Privacy Policy (orioninc.com) (“Notice”) explains:

  • What information we collect during our application and recruitment process and why we collect it;
  • How we handle that information; and
  • How to access and update that information.

Your use of Orion services is governed by any applicable terms in this notice and our general Privacy Policy.


Top Skills

Python
The Company
HQ: Edison, NJ
3,410 Employees
On-site Workplace
Year Founded: 1993

What We Do

Orion is a leading digital transformation and product development services firm. Headquartered in Edison, NJ, we have a global team of 6,200+ associates, with engineers in 14 major delivery centers across North America, Europe, Asia Pacific and Latin America.

For over 25 years, Orion has been solving complex business problems for our clients. Our transformative business solutions are rooted in digital strategy, experience design, and engineering, empowering our clients to operate with agility at scale.​

Our mission is to serve as an agile and trusted partner for business transformation initiatives, providing deep emerging technology, experience design, and domain expertise.​

Our business has more than tripled over the last three years. ​

We have grown aggressively both organically and inorganically, adding new clients, complementary skills, domain expertise, and strengthening our global footprint.

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