Database Analyst - Big Data Architecture - Consulting Firm

"We are looking for a self-motivated technology leader in big data and data warehouse, search and analytics technologies who has hands on development experience in architecting scalable backend systems with high volume of data

What is expected out of this role

- Architect and design for our customers data-driven applications and solutions and own back-end technology stack

- Develop architectures that are inherently secure, robust, scalable, modular, and API-centric

- Build distributed backend systems serving real-time analytics and machine learning features at scale

- Own the scalability, performance, and performance metrics of complex distributed systems

- Apply architecture best practices that helps increase execution velocity

- Collaborate with the key stakeholders, like business, product and other technology teams

- Mentor junior members in the team

Required Qualifications

- 6-10 years of experience in backend architecture and development with large data volumes

- Extensive Hands on experience in the Big Data Ecosystem (like Hadoop, Spark, Presto, Hive), Database (like MySQL, PostgreSQL), NoSQL (like MongoDB, Cassandra) and Data Warehousing like Redshift

- Have deep expertise with search engine like Elastic search and javascript environment like Node.js

- Experience in cloud-based technology solutioning with scale and robustness

- Strong data management and migration experience including proficiency in data warehousing, data quality and analysis

- Experience in development of microservices/REST APIs

- Experience with Agile and DevOps development methodology and tools like Jira, Confluence

Good to have

- Excellent Academic Background (MS/B.Tech from a top tier university)

- Understanding/exposure to complete product development cycle