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Tier-1 brand, metro location, and popular Data Engineer role create high candidate competition.
Core data engineering skills are broadly transferable across industries despite CX domain preference.
Requires specific Snowflake, SQL and data-pipeline skills but no explicit years, producing moderate filtering.
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Design, build, and maintain scalable, auditable data pipelines consolidating CX-relevant data from multiple enterprise sources into analysis-ready datasets.
Support the integration and transformation of complex customer contact, survey, and usage data to enable comprehensive insights for CX and TX programmes.
Define secure data-access frameworks and contribute to establishing trusted data sources and a shared data context layer supporting AI-enabled projects.
Experience building and maintaining data pipelines, ideally with exposure to customer or CX datasets.
Proficiency in SQL and Snowflake for data querying, transformation, and analysis.
Experience supporting data consumption via visualization tools such as Tableau or Power BI.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in working with multiple enterprise data sources to create reliable, analysis-ready datasets for customer and transactional insights.
Familiarity with cloud data warehouse environments (especially Snowflake) and data governance practices relevant to customer data.
Operates with strong attention to data accuracy, reliability, documentation, and supports self-service analytics culture.