Senior Staff Engineer
StoneX Group Inc.2 years ago
Pune, IndiaStaff+
Responsibilities
- Architect, design, and implement components of the cloud data platform for ongoing operations and new market data projects.
- Lead technical deliverables, define project scope, and address data and technical requirements.
- Design data pipelines for structured and unstructured data, including data transformation, storage, and distribution.
- Define data domains and attributes, standardize data models, and improve the quality of strategic enterprise data assets.
- Act as a solution architect for complex business problems and deliver feasible technical solutions.
- Troubleshoot and resolve production issues.
- Collaborate with technology leads and cross-functional business and IT stakeholders.
- Oversee day-to-day operations of junior data team members and participate in scrum and sprint rituals.
- Own end-to-end technical delivery of small and medium-sized projects.
Requirements
- 5+ years of experience in data architecture, data engineering, and/or production support across large enterprises.
- 3 years of hands-on data engineering or software development experience in the capital markets or trading industry.
- Strong understanding of enterprise architecture patterns, object-oriented and service-oriented principles, design patterns, and industry best practices.
- Experience leading a small team of technical performers is desired.
- Experience facilitating discussions and resolving issues across cross-functional business and IT stakeholders.
- Knowledge of data structures, algorithms, and performance-oriented design.
- Proficiency in Python and working knowledge of C# and PySpark.
- Experience with Azure Databricks is desired.
- Experience with relational databases such as MSSQL, Postgres, or MySQL and key-value or document databases such as MongoDB, DynamoDB, or Cassandra.
- Strong communication skills and the ability to translate business concepts into technical tasks.
- Ability to work and lead in an Agile methodology environment.
- Working knowledge of emerging generative AI technology is desired.
Tech Stack
Categories
Data Engineering