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Remote role and known brand increase applicants, but seniority and niche Elasticsearch/data skills moderate competition.
Specialized data engineering, Elasticsearch, and real-time analytics increase domain-specific bias for hiring.
Mandatory 8+ years and specific tech stack (Elasticsearch, AWS, Node/Python) make filters strict.
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Build, own, and optimize data pipelines and ETL/ELT processes to support AI-powered customer experience solutions.
Collaborate with business customers, data science teams, and engineering to deliver and enhance contact center technology and data models.
Develop and maintain high-quality real-time analytics solutions using Elasticsearch, Kibana, and REST APIs on AWS infrastructure.
8+ years of experience in Data Engineering or Software Engineering.
Proficient in JavaScript, Node.js, or Python programming languages.
Experience with AWS services including Lambda, ECS Fargate, EKS, Docker, SQS, and proficiency with REST API and JSON.
Willingness to work flexible hours, including up to 11 PM IST.
Experienced in application development for contact center product suites such as Genesys, Avaya, or Cisco.
Strong expertise in data modeling, data warehousing, and real-time analytics infrastructure.
Capable of independently managing projects, communicating complex topics clearly to technical and business stakeholders, and adapting to global team collaborations.