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Senior Cloud Data Engineer

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Data Engineer Role in Google Cloud

We are actively seeking a highly skilled and experienced Data Engineer to join our team. This pivotal role requires very strong hands-on experience as a Data Engineer with exceptional proficiency in SQL and PySpark.

Key Responsibilities
  • Data Pipeline Development: Design, build, and maintain robust and scalable data pipelines on the Google Cloud Platform (GCP).
  • SQL and PySpark Expertise: Utilize very strong expertise in SQL for data manipulation and querying, and PySpark for large-scale data processing and transformation.
  • GCP Data Services Implementation: Work extensively with GCP data services including BigQuery for data warehousing, Dataform for data pipeline orchestration and governance, and Dataplex for data lake management and data governance.
  • Data Modeling & Optimization: Implement efficient data models and optimize data workflows for performance and cost-effectiveness within the GCP ecosystem.
  • Troubleshooting & Performance Tuning: Identify and resolve complex data-related issues, performing performance tuning on existing data processes.
  • Collaboration: Work closely with data scientists, analysts, and other engineering teams to understand data requirements and deliver integrated solutions.
Required Skills and Qualifications
  • Hands-on Experience: Proven experience as a Data Engineer with a significant focus on GCP.
  • Technical Expertise: Very strong expertise in SQL, PySpark, BigQuery, Dataform, and Dataplex.
  • Education: Bachelor's degree in Computer Science, Engineering, or a related quantitative field.