s a member of Infrastructure Strategy Data Engineering, you will belong to a centralized Data Science/Data Engineering team who partners closely with teams in the client’s Infrastructure organization. Through the consulting-nature of our team, you will contribute to a variety of projects and technologies, depending on partner needs. Projects include analytics, ML modeling, tooling, services, and more. The broad range of partners equates to a broad range of projects and deliverables: ML Models, datasets, measurements, services, tools and process.
Responsibilities
- Manage data warehouse plans for a business vertical or a group of business verticals.
- Build data expertise and own data quality for allocated areas of ownership.
- Design, build, optimize, launch, and support new and existing data models and analytical solutions.
- Partner with internal stakeholders to understand business requirements, work with cross-functional data and products teams and build efficient and scalable data solutions.
- Conduct design and code reviews.
- Work with data infrastructure to triage infra issues and drive to resolution.
- Manage the delivery of high impact dashboards, tools and data visualizations.
Minimum Qualifications:
- BS/B.Tech. /M. Tech in Computer Science, Math or related field
- 2+ years of experience in the data warehouse space, custom ETL design, implementation and maintenance
- 2+ years of experience in SQL or similar languages, and development experience in at least one language (Python, PHP etc.)
- Experience with data architecture, data modeling, schema design and software development
- Experience in leading data driven projects from definition through interpretation and execution.
- Experience with large data sets, Hadoop, and data visualization tools
- Experience initiating and driving projects and communicating data warehouse plans to internal clients/stakeholders.