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 M...