Description
Why Ness
We know that people are our greatest asset. Our staff's professionalism, innovation, teamwork, and dedication to excellence have helped us become one of the world's leading technology companies. It is these qualities that are vital to our continued success. As a Ness employee, you will be working on products and platforms for some of the most innovative software companies in the world. You'll gain knowledge working alongside other highly skilled professionals that will help accelerate your career progression. You'll also benefit from an array of advantages like access to trainings and certifications, bonuses, socializing activities, and attractive compensation.
Requirements and responsibilities
We are looking for a Data Engineer to join our dynamic company.
What you'll do:
- Build new data products and enhance a suite of quantitative factors and models.
- Work with our specialized quantitative research team to deliver a variety of proprietary and unique datasets.
- Highly involved in product role for our quantitative investment clients and innovation initiatives.
- Develop cloud-based data ingestion processes using SQL, Python, and PowerShell, etc.
- Engineer data models and infrastructure for a wide variety of market and alternative datasets.
- Author tests to validate data quality and the stability of the data acquisition processes.
- Work directly with Analyst, Product Specialist, and technology team to understand requirements and provide end-to-end data solutions.
- Communicate with data providers to onboard new datasets and troubleshoot technical issues.
- Investigate and defuse time-sensitive data incidents.
What you'll bring:
- Bachelor/Masters degree in Computer Science, Information Systems, or a related field.
- Strong analytical, data, and programming skills (Python, SQL, NoSQL, JavaScript).
- 3+ years of experience with large datasets ETL and techniques to architect them for performance, experience using alternative unstructured data is a plus.
- 1+ year of experience with cloud computing services, experience with cloud technologies such as AWS S3, Lambda, RDS, SageMaker, or EMR preferred.
- Aptitude for designing infrastructure, and data products for Quant/Data Scientists is a plus.
- Ability to work effectively in an agile environment with numerous stakeholders on complex research and new development projects.
- Financial industry or investment business experience is a plus.
- Strong verbal and written communication skills, must be a team player.
- Candidate must be proficient in one or more of the following programming languages: JavaScript, R, Python, pandas, numpy, SciPy, etc. packages.
If this role sounds good to you, even if you don't meet every single bullet point in the job description, we encourage you to apply anyway. For most of the candidates that applied, we found a role that was a very good fit with their skills. Let's meet and you may just be the right candidate for one of our roles.
At Ness Digital Engineering we are willing to build a work culture that is based on diversification, inclusion, and authenticity.
Ness Digital Engineering