Senior Backend Engineer, Analytics

Level AI was founded in 2019 and is a Series C startup headquartered in Mountain View, California. Level AI revolutionises customer engagement by transforming contact centres into strategic assets. Our AI-native platform leverages advanced technologies such as Large Language Models to extract deep insights from customer interactions. By providing actionable intelligence, Level AI empowers organisations to enhance customer experience and drive growth. Consistently updated with the latest AI innovations, Level AI stands as the most adaptive and forward-thinking solution in the industry.

Competencies:

Data Modelling:

Data Warehousing & Storage Solutions

ETL/ELT Processes

SQL Proficiency

Programming Skills

Data Integration

Data Pipeline Management

APIs and Data Feeds

Responsibilities –

• Design and implement analytical platforms that provide insightful dashboards to customers.
• Develop and maintain data warehouse schemas, such as star schemas, fact tables, and dimensions, to support efficient querying and data access.
• Oversee data propagation processes from source databases to warehouse-specific databases/tools, ensuring data accuracy, reliability, and timeliness.
• Ensure the architectural design is extensible and scalable to adapt to future needs.

Requirement -

• Qualification: B.E/B.Tech/M.E/M.Tech/PhD from tier 1 Engineering institutes with relevant work experience with a top technology company.
• 3+ years of Backend and Infrastructure Experience with a strong track record in development, architecture and design.
• Hands-on experience with large-scale databases, high-scale messaging systems and real-time Job Queues.
• Experience navigating and understanding large-scale systems and complex code-bases, and architectural patterns.
• Proven experience in building high-scale data platforms.
• Strong expertise in data warehouse schema design (star schema, fact tables, dimensions).
• Experience with data movement, transformation, and integration tools for data propagation across systems.
• Ability to evaluate and implement best practices in data architecture for scalable solutions.

• Nice to have:

• Experience with Google Cloud, Django, Postgres, Celery, Redis.
• Some experience with AI Infrastructure and Operations.

To learn more visit : https://thelevel.ai/

Funding : https://www.crunchbase.com/organization/level-ai

LinkedIn : https://www.linkedin.com/company/level-ai/

Our AI platform : https://www.youtube.com/watch?v=g06q2V_kb-s