RQ00527 - DataOps/Cloud Data Engineer - Senior

Key Responsibilities Design, build, and maintain end to end data pipelines using Microsoft Fabric, including Lakehouse, Data Factory, Dataflows, and notebooks. Develop and optimize SQL based transformations, data models, and curated datasets for enterprise reporting and analytics. Build and maintain Python based data engineering logic for ingestion, transformation, validation, and automation. Implement and operate data quality controls, including validation rules, reconciliation checks, and exception handling. Monitor data pipelines, investigate failures or data quality issues, and implement fixes with minimal escalation. Integrate data from multiple enterprise systems, including CRM, ticketing systems, telephony platforms, and operational databases. Maintain technical documentation, data lineage, and operational runbooks for owned pipelines and datasets. Work closely with the Manager and Data Analysts to ensure data assets meet defined standards and reporting requirements. Required Qu...