The role involves building scalable and efficient data solutions specifically for Finance Analytics and reporting at McDonald's global headquarters in Hyderabad
Job Summary
The role involves building scalable and efficient data solutions specifically for Finance Analytics and reporting at McDonald's global headquarters in Hyderabad.
Candidates will design and operate batch and streaming pipelines using Google Cloud Platform services like Dataflow, Dataproc, and Cloud Composer.
This position requires deep expertise in the finance data product lifecycle, including managing chart of accounts mappings and cost center hierarchies.
Matching Summary
The role involves building scalable and efficient data solutions specifically for Finance Analytics and reporting at McDonald's global headquarters in Hyderabad.
Skills & Requirements
Must-have
GCP Dataflow Dataproc Cloud Composer
Python Java Scala programming
Finance data product lifecycle
BigQuery cloud storage Pub/Sub
Data governance and quality standards
Batch and streaming pipeline development
Nice-to-have
Mentoring junior data engineers
Cross-functional stakeholder collaboration
Knowledge of dimensional modeling
Experience with financial variance analysis
Familiarity with auditability controls
Key Requirements
5+ years professional experience in data engineering