Google Data Engineer Developer

Technical/Functional Skills

• Google Cloud Platform: In-depth knowledge of GCP, including Cloud Dataflow, BigQuery, Cloud Storage, and Cloud Composer.
• Data Engineering: Strong understanding of data engineering concepts, including data modeling, ETL, and data warehousing.
• Expertise in Cloud storage, Dataproc, Cloud Functions, Messaging/Streaming (pub-sub)
• Programming: Proficiency in programming languages, including Python, Java, or SQL.
• Data Governance: Familiarity with data governance frameworks, including data quality, data security, and data compliance.
• Communication: Excellent communication and collaboration skills.
• Google Cloud Certifications: Relevant certifications, such as Google Cloud Certified - Professional Data Engineer or Google Cloud Certified - Enterprise Data Engineer.
• Big Data: Experience with big data technologies, including Hadoop, Spark, or NoSQL databases.
• Machine Learning: Experience with machine learning frameworks, including TensorFlow or Scikit-learn.
• Cloud Experience*: Experience with other cloud-based data platforms, including AWS or Azure