- Deploy modern data management tools to curate our most important data sets, models and processes, while identifying areas for process automation and further efficiencies
- Evaluate, select and acquire new internal & external data sets that contribute to business decision-making.
- Engineer streaming data processing pipelines.
- Drive adoption of Cloud technology for data processing and warehousing (AWS ,Azure).
- Engage with data consumers and producers in order to design appropriate models to suit all needs.
- - 11 years (expert) / 11+ years (advanced) of relevant work experience in a team-focused environment
- A bachelor's degree (Masters preferred) in a computational field (Computer Science, Applied Mathematics, Engineering, or in a related quantitative discipline)
- Working knowledge of more than one programming language (Python, Java, C , C#, etc.)
- Deep understanding of multi multi-dimensionality of data, data curation and data quality, such as traceability, security, performance latency and correctness across supply and demand processes
- In-depth knowledge of relational and columnar SQL databases, including database design
- General knowledge of business processes, data flows and the quantitative models that generate or consume data
- Excellent communications skills and the ability to work with subject matter expert to extract critical business concepts
- Independent thinker, willing to engage, challenge or learn
- Ability to stay commercially focused and push for quantifiable commercial impact
- Strong work ethic, a sense of ownership and urgency
- Strong analytical and problem-solving skills
- Ability to collaborate effectively across global teams and communicate complex ideas in a simple manner
- Strong understanding of data structure and algorithms
- Functional knowledge of buy-side business is good to have
- Working with data pipes from Bloomberg, Reuters, Fact set etc. is good to have.
- Hadoop, HBase, spark, Apache Arrow, data streaming
- Custom Data Catalog, Airflow, Grafana, Iceberg, Fast API, Python
- Scraping large-scale public datasets in real time
- Building and maintaining large-scale high performance computing applications
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Data Engineer - New York, United States - Accolite
Description
Bounteous x Accolite makes the future faster for the world's most ambitious brands. Our services span Strategy, Analytics, Digital Engineering, Cloud, Data & AI, Experience Design, and Marketing. We are guided by Co-Innovation, our proven methodology of collaborative partnership.Bounteous x Accolite brings together 5000+ employees spanning North America, APAC, and EMEA, and partnerships with leading technology providers.
Through advanced digital engineering, technology solutions, and data-driven digital experiences, we create exceptional and efficient business impact and help our clients win.
Role:Data Engineer
Location:
NYC
Fulltime.
Responsibility
EEO
Bounteous x Accolite is proud to be an Equal Employment Opportunity and Affirmative Action employer.
We do not discriminate based upon race, religion or belief, color, ethnic or national origin, marital or domestic relationship, sexual orientation, gender identity, age, citizenship, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Accommodation
Accolite is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.