Google Data Engineer:

This learning path is designed to help you prepare for the Google Certified Professional Data Engineer Exam. Even if you don't plan to take the exam, these courses will help you gain a solid understanding of the various data processing components of the Google Cloud Platform.

At the heart of Google’s big data services is BigQuery, a managed data warehouse in the cloud. The first three courses will show you how to load and query data in BigQuery, optimize BigQuery’s performance, and visualize your data.

The next three courses will show you how to process your data. First, you will use Cloud Machine Learning Engine to train neural networks to perform predictive analytics. Next, you’ll use Cloud Dataflow and Cloud Dataproc to build data processing pipelines that transform and summarize your data using Apache Beam, Hadoop, and Spark.

The final course will introduce you to Bigtable, Google’s revolutionary NoSQL database. It will show you how to take advantage of Bigtable’s high performance for big data applications.

All of these courses include hands-on demos you can do yourself. Then you can test what you’ve learned by taking the practice exam.

Placement assistance program through LSA Recruit:

1. Determine the scope of the placement assistance program: The placement assistance program will help LSA Training students find suitable job opportunities in their desired industry sectors and job roles.
2. Identify the target audience: The target audience for the placement assistance program will be LSA Training students who have successfully completed their training.
3. Develop a database of potential employers: A database of potential employers should be created based on the industry sectors and job roles that are relevant to the students' skills and interests.
4. Establish partnerships with employers: Partnerships should be established with potential employers to facilitate the job placement process. This may include establishing direct relationships with employers, attending career fairs, and participating in industry-specific events.
5. Develop a candidate profile: A candidate profile should be created that outlines the skills, knowledge, experience, and qualifications of the LSA Training students.
6. Provide career advice and coaching: Career advice and coaching services should be provided to the LSA Training students to help them prepare for job interviews, develop resumes, and improve their professional skills.
7. Match candidates with potential employers: LSA Recruit should match the LSA Training students with potential employers based on their candidate profile and the requirements of the job vacancies.
8. Arrange interviews: LSA Recruit should arrange interviews between the LSA Training students and potential employers.
9. Provide feedback to the students: LSA Recruit should provide feedback to the LSA Training students after the interviews to help them improve their job search skills.
10. Monitor success rate: The success rate of the placement assistance program should be monitored based on the number of LSA Training students who find employment opportunities and the feedback from both the students and employers.

By following these steps, you can create a comprehensive placement assistance program through LSA Recruit that will help LSA Training students find suitable job opportunities in their desired industry sectors and job roles.

For more details on Recruitment:  www.Lsarecruit.co.uk
Contact Us: +44 02039501453
Mail Us: Careers@Lsarecruit.co.uk

Learning Objectives:

• · Build and maintain data structures and databases
• · Analyze data and enable machine learning
• · Optimize data representations, data infrastructure performance, and cost
• · Ensure reliability of data processing infrastructure
• · Visualize data
• · Design secure data processing systems

Prerequisites:

• Basic database knowledge but not mandatory, we will train basic data base concepts on the day

Intended Audience:

• · Data professionals
• · People studying for the Google Professional Data Engineer exam

Training Highlights

• More interaction with student to faculty and student to student.
• Detailed presentations. Soft copy of Material to refer any time.
• Practical oriented / Job oriented Training. Practice on Software Tools & Real Time project scenarios.
• Mock interviews / group discussions / interview related questions.
• Test Lab is in Cloud Technology – to practice on software tools if needed.
• We discuss about the real time project domains.
• The teaching methods / tools / topics we chosen are based on the current competitive job market.

Also on this course we offer the following

• Hands on Experience
• Real Time project work
• Interview based Training

Expected Salary/ Pay Package

• Expected Salaries are as follows:
• For Contractors £500 to £600 per day
• Permanent Positions £60 to £120k per annum all depends on experience and skills set