{"id":97344,"date":"2022-01-10T15:12:42","date_gmt":"2022-01-10T23:12:42","guid":{"rendered":"https:\/\/careerkarma.com\/blog\/?p=97344"},"modified":"2022-01-10T15:12:43","modified_gmt":"2022-01-10T23:12:43","slug":"weclouddata-data-engineering-program-review","status":"publish","type":"post","link":"https:\/\/careerkarma.com\/blog\/weclouddata-data-engineering-program-review\/","title":{"rendered":"Here\u2019s How You Can Become a Data Engineer with WeCloudData\u2019s Data Engineering Program"},"content":{"rendered":"\n

Data engineering is an essential field in tech that helps businesses make better decisions by extracting useful information from data. \u201cThe ability to take data\u2013to be able to understand it, to process it, to extract value from it, to visualize it, to communicate it\u2013is going to be a hugely important skill in the next decades,\u201d Professor Hal Varian<\/a>, Google\u2019s Chief Economist, says. <\/p>\n\n\n\n

While data scientists access and interpret data, data engineers are responsible for creating and maintaining the pipelines, repositories, and systems that the data scientist needs to work with. This career path has been gaining more popularity in recent years. <\/p>\n\n\n\n

Dice\u2019s 2020 Tech Job Report<\/a> reveals data engineering to be the fastest-growing occupation with about 50 year-over-year growth. The career path is known to offer impressive job security and lucrative financial benefits.<\/p>\n\n\n\n

So, how can you break into data engineering as a student, a job seeker, or a career changer? WeCloudData<\/a> is an academy saddled with the motivation to bring positive changes to the future of work by delivering an excellent learning experience and creating an environment for work-integrated learning. It pursues that mission by teaching in-demand skills using cutting-edge data and AI technology.<\/p>\n\n\n\n

Read on as we walk you through how WeCloudData can help you become a skilled Data Engineer within a few months with its Data Engineering Bootcamp<\/a>.<\/p>\n\n\n\n

\n

\nWeCloudData trains people to become data engineers by teaching them technical skills like data ingestion and integration, building data pipelines, project management, and more.<\/p>\nLearn more about WeCloudData\u2019s Data Engineering program. <\/a>\n<\/div>\n
\n\n\n\n

What Is a Data Engineer?<\/h2>\n\n\n\n

Data engineers build data pipelines to collect information from various sources and develop algorithms to draw insight from the data. Generally, the complexity of a data engineer\u2019s job depends on factors like the company\u2019s size, operations, and goals. Some essential roles of a data engineer are listed below.<\/p>\n\n\n\n

  1. Design, build and maintain data pipeline architecture necessary for collecting and processing data.<\/li>
  2. Evaluate a business\u2019 needs, optimize and scale data pipelines to meet its growing database and demands. <\/li>
  3. Build tools and channels that facilitate data flow between the IT systems and several data warehouses.<\/li>
  4. Create codes, scripts, and tools that aid the data collecting, analyzing, cleansing, and virtualization processes.<\/li>
  5. Manage structured and unstructured data stored in a data warehouse using several data management techniques.<\/li>
  6. Deploying machine learning models created by data scientists into the technical systems.<\/li>
  7. Work with data scientists, data analysts, and other relevant stakeholders to build more functional data systems that facilitate their work.<\/li>
  8. Monitor the overall performance of the system and assist in cleaning the data at regular intervals.<\/li><\/ol>\n\n\n\n

    The responsibilities of data engineers are generic, but their roles can be more company-specific. Like their responsibilities, a data engineer\u2019s role depends on the business size, trade, and needs. Here are three common data engineering roles.<\/p>\n\n\n\n

    1. Generalists<\/strong> are data engineers usually found in startups or small-medium enterprises. They are often responsible for most data processing and management activities.  <\/li>
    2. Pipeline-Centric Data Engineers<\/strong> are mainly present in midsize companies. They collect large volumes of data and collaborate with data scientists in managing them.  <\/li>
    3. Database-Centric Data Engineers<\/strong> work in large corporations that deal with Big Data. They develop databases and table schemas by copying data from various sources into a central system. <\/li><\/ol>\n\n\n\n

      Data engineers use their extensive knowledge and skills in coding tools like AWS, SQL, Python, and Java to execute their responsibilities effectively. The rigorous task of working as a data engineer comes with adequate financial compensation, as their average salary is $92,957<\/a> per annum. To start your data engineering career, here is how you can upskill with WeCloudData\u2019s Data Engineering Bootcamp.<\/p>\n\n\n\n

      What Is WeCloudData\u2019s Data Engineering Program?<\/h2>\n\n\n\n

      WeCloudData Academy offers an Applied Data Engineering Diploma Program specially designed to help fresh graduates, IT experts, and other professionals desiring to start a career in data engineering. The program lasts six months, and it trains students to be job-ready from day one after graduation.<\/p>\n\n\n\n

      The program is delivered live online by experienced data professionals and educators. The lectures and labs sessions are interactive and feature a practical-based approach to learning. During the training, students complete several capstone projects that help cement their knowledge of technical skills, build their portfolios, and boost their confidence as they enter the industry.<\/p>\n\n\n\n

      Adding to that, WeClouldData usually invites data engineering experts as guest speakers at its programs. Students also have access to six-month one-on-one mentorship career services which will provide all the support they will need during job searching including resume revision, interview preparation, professional network development, and so on.<\/p>\n\n\n\n

      WeCloudData\u2019s Data Engineering Program Schedule and Tuition<\/h3>\n\n\n\n

      WeCloudData\u2019s Data Engineering Program is available full-time and part-time.<\/p>\n\n\n\n

      1. Part-Time Data Engineering Program<\/strong> was designed to cater to working professionals who want to keep their daytime job and learn new skills simultaneously. Classes are held on weekday evenings and weekends. Students here also get access to the same curriculum as full-time students although they do not have access to full-time teaching assistants and real clients\u2019 projects.

        The part-time program costs $6,767 (CAD 8,600) in an upfront payment.
        <\/li>
      2. Full-Time Data Engineering Program<\/strong> comes with an added feature unavailable in the part-time variant\u2014full-time teaching assistant and a business project. This project comes at the end of the program. Here, students handle an actual client\u2019s project, interact with real companies, take business requests, and turn them into practical data analytics execution plans.\u00a0

        The tuition for the full-time program is $10,700 (13,600 CAD) up front.<\/li><\/ol>\n\n\n\n

        WeCloudData features other financing options<\/a> aside from upfront payment and they are available to Canadian and US students. Partnering with PayBright, WeCloudData allows students to make installment payments. With the Ontario government\u2019s second career funding, on the other hand, they can access up to $28,800 in grants to students to cover tuition, books, and other expenses. <\/p>\n\n\n\n

        Note that WeCloudData is an accredited private career college, making it eligible for the second career funding. Canadians may also apply for students\u2019 line of credit from the Bank of Montreal to cover their training expenses. The ISA payment option is also available for US students. <\/p>\n\n\n\n

        An Overview of WeCloudData\u2019s Data Engineering Course Curriculum<\/h3>\n\n\n\n

        The Data Engineering Program features a comprehensive curriculum that spreads across 24 weeks of active learning. It\u2019s split into two semesters with 12 weeks in each half. <\/p>\n\n\n\n

        The first semester begins with a review class on programming basics. Students learn Linux commands and revise their knowledge of Python, object-oriented programming, and key data structures. Then, the topics branch out to cover Scala programming with Apache Spark, Cloud Computing with AWS, Docker, Kubernetes, Data Warehousing, Data Lake, and Big Data management. <\/p>\n\n\n\n

        The first semester ends with a Term Project where students build modern business intelligence tools using OLAP cubes, Data Warehousing, and cloud computing skills.<\/p>\n\n\n\n

        Kicking off with the second semester on the 13th week, they learn to create different databases models using NoSQL. Advancing further in the program, they learn data ingestion and data linkage with Google Pub, Apache Kafka, NiFi, Atla, Spark Streaming, Flink, and several other tools. <\/p>\n\n\n\n

        The syllabus also covers data integration and data pipelines modeling. Students build data pipelines using Apache Airflow, create feature databases for machine learning, and deploy machine learning pipelines.<\/p>\n\n\n\n

        Technical skills without soft skills leave students halfway on the path to becoming data engineers. This is why the Applied Data Engineering Bootcamp also helps you hone relevant soft skills such as communication and project management with an agile framework. Finally, you would work on a capstone project and graduate as a certified AWS\/GCP data engineer with a solid project portfolio.<\/p>\n\n\n\n

        Aside from technical training, job search prep is also a priority at WeCloudData. After completing the Data Engineering Program, students get access to six months of comprehensive training in job search. During this period students learn to build a strong resume, improve on their personal branding, and adopt quality interviewing skills.<\/p>\n\n\n\n

        WeCloudData\u2019s career mentors also work as data engineers in real companies, putting them in the best position to know job search trends and changing expectations of employers. Through several one-on-one sessions, they diligently guide each student through their unique job hunt process.<\/p>\n\n\n\n

        Who Will You Learn from at WeCloudData\u2019s Data Engineering Program?<\/h3>\n\n\n\n

        Instructors at WeCloudData\u2019s Engineering Program are seasoned industry professionals with both industry and teaching experience. Teaching assistants work more personally with students to ensure they understand the lessons and can apply them in their assignments and projects.<\/p>\n\n\n\n

        Students also learn from several guest speakers and lecturers that are invited to speak at the bootcamp. These speakers are usually professionals at big-name companies including Microsoft, Amazon, Thompson Reuters, Element AI, Payright, and Canaccede Financial Group, among others. These lectures help students connect with industry leaders and learn what employers\u2019 expectations are in the real world.<\/p>\n\n\n\n

        Some of those you will learn from at the Data Engineering Bootcamp are:<\/p>\n\n\n\n