Data Platform Lead

2 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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