GCP Data Engineer

We are seeking a skilled GCP Data Engineer with strong experience in building and maintaining scalable data pipelines in cloud environments. The ideal candidate will work with large volumes of structured and semi-structured data, supporting analytics and business intelligence initiatives in a fast-paced, Agile setting.
•Key Responsibilities:
-Design, develop, and maintain robust ETL/ELT data pipelines on Google -Cloud Platform
-Work with BigQuery, Cloud Storage (GCS), and Cloud Composer (Airflow) for data processing and orchestration
-Develop and optimize SQL queries and Python-based data workflows
-Ensure data quality, integrity, and performance across pipelines
-Collaborate with cross-functional teams in an Agile environment
-Support production systems and troubleshoot data-related issues
•Required Skills:
-5+ years of experience as a Data Engineer
-Hands-on expertise with Google Cloud Platform (GCP)
-Strong experience with BigQuery, GCS, Airflow/Cloud Composer
-Proficiency in Python and SQL
-Experience working with structured and semi-structured datasets
-Solid understanding of data pipeline design and architecture
-Strong communication and problem-solving skills
•Preferred Qualifications:
-Experience with telecom/contact center data (IVR, CDR, voice analytics)
-Familiarity with data lake architecture and cloud-native solutions