Data Engineer - Google Cloud Platform

Job Title : GCP Data Engineer Experience Range : 4-8 Years Client Interview : Yes Shift : Australia Mode : Work From Home (WFH) Job Description : We are seeking a skilled and motivated GCP Data Engineer with hands-on experience in BigQuery and DBT to join our dynamic team. The ideal candidate will have a strong background in data engineering, a deep understanding of Google Cloud Platform services, and a passion for optimizing data workflows. Key Responsibilities : - Data Pipeline Development : Design, develop, and maintain scalable data pipelines using DBT to transform raw data into actionable insights. - BigQuery Management : Utilize Google BigQuery for efficient data storage, retrieval, and analysis, ensuring optimal performance and cost-effectiveness. - ETL Processes : Develop and manage ETL processes to ingest data from various sources into the data warehouse. - Collaboration : Work closely with data analysts, data scientists, and other stakeholders to understand data requirements and deliver solutions that meet business needs. - Performance Optimization : Monitor and optimize data workflows to ensure low latency and high reliability. - Documentation : Maintain clear and comprehensive documentation of data architectures, processes, and workflows. Required Qualifications : - Experience : 5-8 years of professional experience in data engineering, with a significant focus on GCP, BigQuery, and DBT. - Technical Proficiency : Strong expertise in SQL and experience with GCP services such as Cloud Storage, Dataflow, Cloud Composer, and Cloud Functions. - Problem-Solving Skills : Ability to troubleshoot complex data issues and implement effective solutions. - Communication Skills : Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. - Adaptability : Comfortable working in a remote, fast-paced environment with a distributed team. Preferred Qualifications : - Certifications : GCP Professional Data Engineer certification is a plus. - Additional Tools : Experience with other data tools and platforms, such as Apache Beam or Airflow. - Domain Knowledge : Familiarity with industry-specific data challenges and regulatory requirements. Working Conditions : Shift : Align with Australian business hours to collaborate effectively with the team and stakeholders. Mode : This is a Work From Home (WFH) position, requiring a reliable internet connection and a conducive work environment. If you are a proactive data engineer with a passion for leveraging GCP technologies to drive business success, we encourage you to apply. Join us in delivering innovative data solutions that empower decision-making and fuel growth. (ref:hirist.tech)

Location: in, IN

Posted Date: 4/19/2025