Data Engineer - Google Cloud Platform

Job Summary & Responsibilities :

Roles and Responsibilities :

• Proven experience as a Data Engineer with a focus on GCP.
• Strong proficiency in Python programming for data processing and automation.
• Experience with GCP data services such as Apache Airflow, BigQuery, Dataflow, and Data prep.
• Knowledge of data modeling and database design principles.
• Hands-on experience with ETL processes preferably DBT and data integration.
• Understanding of data governance, quality, and security practices.
• Good experience on SQL and advanced SQL.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• Design and implement scalable data pipelines using GCP services such as BigQuery, Dataflow, Pub / Sub, Cloud Storage, and Composer (Airflow).
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver high-quality data solutions.
• Build and maintain ETL / ELT workflows to ingest, transform, and load structured and unstructured data from various sources.
• Optimize performance and cost-efficiency of data pipelines and BigQuery datasets.
• Ensure data quality, governance, and security best practices are followed across all data workflows.
• Monitor data jobs and troubleshoot issues in real-time to ensure high availability.
• Participate in architecture reviews, code reviews, and performance Skills & Qualifications :
• 35+ years of experience in data engineering with at least 2 years of hands-on experience in Google Cloud Platform (GCP).
• Proficiency in SQL and Python or Java for data pipeline development.
• Strong experience with BigQuery, Dataflow, Cloud Storage, Pub / Sub, and Cloud Composer (Apache Airflow).
• Solid understanding of data warehousing, streaming data processing, and data modeling concepts.
• Familiarity with CI / CD pipelines, Terraform / IaC, and Git-based workflows.
• Experience working with large-scale datasets and performance Qualifications :
• GCP Professional Data Engineer Certification.
• Knowledge of Apache Beam, Kafka, or other streaming technologies.
• Familiarity with data security and privacy regulations (e.g., GDPR, HIPAA).
• Experience integrating with BI tools such as Looker, Tableau, or Power BI.

ref : hirist.tech)