- 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.
- 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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Lead Data Engineer - New York, United States - Accolite
Description
Role:
Lead Data Engineer
Location:
New York City
Fulltime.
Responsibility
EEO
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.
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