Description

Key Responsibilities

• Design, build, and maintain scalable data pipelines and data integration solutions on GCP.
• Develop and optimize ETL/ELT processes using modern data engineering frameworks.
• Implement and monitor data quality, validation, reconciliation, and governance controls.
• Work with structured and unstructured data to support analytics, reporting, and AI/ML initiatives.
• Collaborate with business, analytics, and architecture teams to define data requirements and solutions.
• Ensure data reliability, performance, security, and compliance across data platforms.
• Troubleshoot data issues and drive continuous improvements in data processes.

Required Skills

• 8-10 years of experience in Data Engineering and Data Warehousing.
• Hands-on experience with Google Cloud Platform (BigQuery, Dataflow, Dataproc, Cloud Storage, Pub/Sub, Composer).
• Strong proficiency in SQL and Python.
• Experience building ETL/ELT pipelines and batch/streaming data solutions.
• Solid experience with Data Quality frameworks, data profiling, validation, reconciliation, and data governance practices.
• Strong understanding of data modeling, performance tuning, and cloud-native architectures.
• Experience working in Agile delivery environments.

Preferred Skills

• Experience with Data Catalog, Dataplex, or similar governance tools.
• Exposure to AI/ML data pipelines and modern data lakehouse architectures.
• GCP certifications are a plus

Key Skills

Education

Bachelor's degree