Professional Certificate in Data Engineering on Google Cloud

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The Professional Certificate in Data Engineering on Google Cloud is a cutting-edge course that empowers learners with the essential skills needed to thrive in today's data-driven world. This program is designed to meet the surging industry demand for skilled data engineers, with 90,000 new jobs expected in the US by 2025 (Burning Glass Technologies).

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Learners will gain hands-on experience with Google Cloud's suite of data engineering tools, enabling them to design, build, and manage scalable data solutions. Through a series of real-world scenarios and practical exercises, learners will master key concepts in data storage, processing, and analytics, as well as data pipeline development and management. Upon completion, learners will be fully equipped to advance their careers in data engineering, with a Professional Certificate from Google Cloud and the skills needed to succeed in a variety of data engineering roles.

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ใ‚ณใƒผใ‚น่ฉณ็ดฐ

โ€ข Google Cloud Platform (GCP) Architecture
โ€ข Data Engineering with BigQuery
โ€ข Data Storage and Management on Google Cloud
โ€ข Building Data Pipelines with Cloud Dataflow
โ€ข Machine Learning with Cloud ML Engine
โ€ข Data Processing with Cloud Dataproc
โ€ข Monitoring and Optimizing Data Workflows
โ€ข Security and Compliance in Data Engineering
โ€ข Best Practices in Data Engineering on Google Cloud

ใ‚ญใƒฃใƒชใ‚ขใƒ‘ใ‚น

In the UK, the demand for data engineering talent has significantly grown, with a 300% increase in job postings over the past few years. This surge is primarily driven by the increasing need for professionals who can effectively manage and analyze vast amounts of data for businesses. We'll examine the current job market trends, salary ranges, and skillset demand within the data engineering field. 1. Job Market Trends According to recent reports, the top industries recruiting data engineers in the UK include financial services, healthcare, retail, and technology. The average salary for a data engineer in London is around ยฃ65,000, while the national average is approximately ยฃ52,000. 2. Salary Ranges Entry-level positions typically offer ยฃ35,000 to ยฃ45,000, while mid-level data engineers earn between ยฃ50,000 and ยฃ70,000 annually. Senior data engineers can earn up to ยฃ90,000, depending on their expertise and the company's size. 3. Skill Demand Key skills in high demand for data engineers on Google Cloud include SQL, Python, Java, Apache Beam, and cloud computing technologies such as Google Kubernetes Engine (GKE) and BigQuery. With the continuous growth in data-driven industries, the UK data engineering job market is expected to remain competitive and dynamic. Investing in a Professional Certificate in Data Engineering on Google Cloud can give you a competitive edge and open up new career opportunities. Ready to start your journey? Explore our certification programme and take your first step towards a successful career in data engineering.

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ใ„ใคใ‚ณใƒผใ‚นใ‚’้–‹ๅง‹ใงใใพใ™ใ‹๏ผŸ

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ใ‚ตใƒณใƒ—ใƒซ่จผๆ˜Žๆ›ธใฎ่ƒŒๆ™ฏ
PROFESSIONAL CERTIFICATE IN DATA ENGINEERING ON GOOGLE CLOUD
ใซๆŽˆไธŽใ•ใ‚Œใพใ™
ๅญฆ็ฟ’่€…ๅ
ใงใƒ—ใƒญใ‚ฐใƒฉใƒ ใ‚’ๅฎŒไบ†ใ—ใŸไบบ
London School of International Business (LSIB)
ๆŽˆไธŽๆ—ฅ
05 May 2025
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