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Global brand, remote-friendly posting, and generalist senior engineer title raise candidate competition.
Data engineering skills (ETL, AWS, Elasticsearch) are broadly transferable across industries.
Explicit 8+ years requirement plus specific data, Elasticsearch, and AWS tech mandates increase filtering.
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Ownership of data pipelines including ETL/ELT processes, data modeling, and continuous improvement of high-quality models for AI-powered customer experience products.
Interface with business customers, data science teams, and engineering to gather requirements, deliver solutions, and incorporate feedback for ongoing optimization.
Visualize and present data analysis results, perform knowledge transfer, and coordinate across global teams respecting cultural and timezone differences.
8+ years of relevant experience in Data Engineering or Software Engineering.
Bachelor's or Master's degree in quantitative field like Computer Science, Statistics, or Engineering.
Hands-on experience with JavaScript, Node.js, or Python and knowledge of AWS services (Lambda, ECS Fargate, EKS, Docker, SQS, etc.).
Experience with data modeling, data warehousing, ETL/ELT development, and real-time analytics tools like Elasticsearch and Kibana.
Proven track record of independently delivering projects involving complex data pipeline and AI feature development.
Experience working within contact center product suites such as Genesys, Avaya, or Cisco is a strong advantage.
Comfortable working flexible hours including till 11 PM IST to support global collaboration and customer needs.