Data Platform Lead

3 weeks ago

bangalore, India Minus Zero Full time

About this Role:

- Technical leader of the Data Platform, connect with stakeholder, build partnerships and grow the Data Platform team in Bangalore
- Own the APIs that services at Toast use to query and retrieve data
- Operate and maintain our batch and streaming data processing workflows in production
- Own the APIs teams at Toast use to access, process and retrieve data from implementation to productionalization (autoscaling, resiliency, etc…)
- Ensure compliance with applicable data security and privacy policies, procedures, guidelines, and agreements.
- Be involved in complex, high impact projects that span multiple teams with direct business impact.
- Champion best practices for development, deployment and quality life-cycles.

Do you have the right ingredients*?

- 5+ years of experience as a Software Engineer with working with data
- Familiarity with microservice based architecture operating at scale, preferably in a cloud environment such as AWS.
- Knowledge of command line tools and the ability to jump in and assist with ops as necessary to keep the pipeline moving.
- Experience in diagnosing and working with partner teams - infra, engineering etc. to resolve data warehouse access and performance issues.
- Hands-on experience in gathering and analyzing metrics from operating systems and data pipelines to assist in performance tuning and fault finding
- Strong foundations in diagnosing performance bottlenecks and implement optimizations across infrastructure, databases, web, and mobile applications
- Experience in implementing strategies to increase reliability and performance of database, pipelines and various systems through process optimization
- Experience in software engineering best practices and tools including object-oriented programming, test-driven development, CI/CD etc.
- Strong foundations in data processing flowcharting techniques, developing data information flows, business process modeling and analyzing business requirements.
- Hands-on experience with data structures, algorithms, data architecting, data mining, large-scale data modeling, and business requirements gathering/analysis.

Bonus ingredients*:

- Experience with working with image or video data is a plus.

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