Key Responsibilities:
- Build & maintain high tps, reliable, performant and cost-effective data collection and extraction modules using Node.js & Python, using streaming solutions like Kafka.
- Deploy, maintain and support these modules on AWS & GCP cloud.
- Index, archive and retain necessary data in multiple persistence stores like Object stores(S3), Key value store (Dynamo DB), and Elastic Search based on the use case.
- Manage the quality of data collected using data quality libraries built using SQL/Python/Spark on AWS Glue and exposed as Dashboards for monitoring using AWS Quick sight and Kibana.
- Restfully abstract the data collected to the downstream applications through a Node.js backend.
- Collaborate well with engineers, researchers, and data implementation specialists to design and create advanced, elegant and efficient end to end competitive intelligence solutions.
Qualifications & Experience:
- Proven experience as a Software Development Engineer that has built, deployed and operationally supported systems in production.
- Excellent knowledge of programming languages such as Node.JS, Python
- Strong understanding of software design patterns, algorithms, and data structures
- Experience with SQL & NoSQL databases.
- Good communication and collaboration skills.
- Works with good ownership and accountability.
- Ability to work in a fast-paced and dynamic environment.
- Experience in writing high volume/tps, reliable crawlers and scrapers is a plus.
- Bachelor's or master's degree in computer science or a related field.
