Google Data Engineer Developer

Job description

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