Senior Data Engineer - Real time analytics

Job summary

Air*** is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We’re redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace. Our momentum comes from a simple idea: help teams work smarter, not harder.

Benefits

Qualifications

• analysis, scalable & low latency streaming platform solution design, architecture, and end-to-end delivery of key modules in order to provide near real-time data solutions for our product
• Analyze and translate business needs into data model & optimize for big data
• Identify slow queries and optimize for better performance
• Write clean scalable code using Scala / python / SQL and test and deploy applications and systems
• Solve our most challenging data problems, in near real-time, utilizing optimal data architectures, frameworks, query techniques, sourcing from structured and unstructured data sources.
• Be part of an engineering organization delivering high quality, secure, and scalable solutions to Air*** clients
• Involvement in product and platform performance optimization and live site monitoring
• Mentor team members through giving and receiving actionable feedback.
• Our tech.
• stack:
• AWS (Kinesis,Kafka, s3, DMS, Glue, EMR, EKS, Redshift, Spectrum), Apache Pinot, Apache Flink and Airflow.
• A continuous deployment process based on GitLab

Responsibilities

• In this role, you will be a key member of the team managing our analytics and event platform stack.
• As part of the Analytics & Data Platform team, you will build features for over 22,000 customers across the globe.
• within the

Skills

Degrees

Industry