
Data Engineer – CX Data & Operations
- Gurgaon, Haryana
- Permanent
- Full-time
- Design, build, and maintain robust ETL pipelines for survey and CX-related data
- Collaborate with analysts to integrate data from multiple sources into Redshift and other downstream platforms
- Support data ingestion and transformation for survey delivery systems (e.g., Qualtrics) and output layers (e.g., Tableau, email systems)
- Ensure data quality, lineage, and monitoring are embedded into all pipeline processes
- Participate in Agile ceremonies, sprint planning, and code reviews as part of the engineering lifecycle
- Support the evolution of data models that align to CX analytics and platform needs
- Contribute to documentation and knowledge sharing across teams
- 4–6 years of experience in Data Engineering and Analytics
- 2–3 years of hands-on experience with AWS Cloud services (e.g., Redshift, S3, Lambda, Glue)
- Strong proficiency in SQL, Python, Shell scripting, and working with large-scale data pipelines
- Deep understanding of data warehousing concepts, ETL frameworks, and data modeling best practices
- Experience working in Agile or rapid application development environments
- Familiarity with RESTful APIs, open API development, and service-oriented architecture (SOA)
- Experience with travel data is a strong plus