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IBM Skills Network Team

This course is designed to prepare you to enter the job market as a data engineer. It provides guidance about the regular functions and tasks of data engineers and their place in the data ecosystem, as well as the opportunities of the profession and some options for career development. It explains practical techniques for creating essential job-seeking materials such as a resume and a portfolio, as well as auxiliary tools like a cover letter and an elevator pitch. You will learn how to find and assess prospective job positions, apply to them, and lay the groundwork for interviewing. You will also get inside tips and steps you can use to perform professionally and effectively at interviews. Let seasoned professionals share their experience to help you get ahead of the competition.

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What's inside

Syllabus

Building a Foundation 
Your job search will be much more effective if you do some primary work before you begin. In Building a Foundation, you’ll learn how to clearly understand the jobs you will be looking for. You’ll learn how to write a basic resume and collect your previous work examples into a portfolio. You’ll also create some other materials that will be useful, such as a cover letter and an elevator pitch.
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Applying and Preparing to Interview 
Job Seeking and Interview Preparation helps you understand how to put yourself forth as a memorable candidate. You’ll get guidance on researching prospective companies and assessing job leads to sift out the ones you want to focus on. You’ll learn about rehearsing for interviews and why it can make a big difference in your performance. And you’ll learn ways to network and let people you meet help you find your ideal role.
Interviewing 
After you’ve attracted a company’s attention, it’s important to know how to follow through. The Interviewing module will guide you through the interview process from beginning to end. You’ll learn about common types of interviews and what to expect from them, including code challenges. You’ll also learn some crucial tips for making a great impression in a final interview and how to follow up so that you stand out from the crowd.
Course Wrap-up

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Explores how data engineers contribute to the data ecosystem and prepares learners for a career in data engineering, which is a fast-growing field
Is taught by IBM, who are industry leaders in data engineering
May be ideal for those learners who are seeking a new job in data engineering
Provides a comprehensive overview of topics that are important in this role
Offers guidance on essential job-seeking materials and tools, such as a resume and a cover letter
Includes tips and steps for professionally and effectively performing at interviews

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Data Engineering Career Guide and Interview Preparation with these activities:
Review professional resume writing practices
Enhance your preparation for job-seeking.
Browse courses on Resume Writing
Show steps
  • Read articles and blog posts on professional resume writing
  • Review sample resumes and cover letters
  • Identify resume sections and their best practices
  • Practice writing a resume and cover letter
Read 'Designing Data-Intensive Applications'
Gain in-depth insights into data engineering principles.
View Secret Colors on Amazon
Show steps
  • Purchase or borrow a copy of the book
  • Read chapters relevant to data engineering
  • Take notes and highlight important concepts
Learn about data engineering tools and technologies
Enhance your technical knowledge and skills.
Browse courses on Big Data Analytics
Show steps
  • Identify essential data engineering tools
  • Find tutorials and online courses
  • Complete tutorials and practice exercises
  • Build a portfolio of projects
Five other activities
Expand to see all activities and additional details
Show all eight activities
Create a study guide for data engineering concepts
Enhance your understanding and retention of key concepts.
Browse courses on Data Engineering
Show steps
  • Review course notes, slides, and assignments
  • Identify and outline key concepts
  • Summarize and organize information in a logical way
  • Review and revise the study guide regularly
Attend industry meetups
Expand your professional network and learn about industry trends.
Browse courses on Networking
Show steps
  • Research industry meetups
  • Register and attend meetups
  • Prepare an elevator pitch
  • Network with professionals
  • Follow up with connections
Form a study group with fellow learners
Connect with others, share knowledge, and support each other's learning.
Show steps
  • Reach out to classmates and form a study group
  • Establish regular meeting times and frequency
  • Discuss course concepts and assignments
  • Quiz and challenge each other
  • Provide support and encouragement
Identify and connect with experienced data engineers
Seek guidance, insights, and support from industry professionals.
Browse courses on Mentorship
Show steps
  • Identify potential mentors through networking events and online platforms
  • Reach out and introduce yourself
  • Ask for guidance and advice
  • Establish regular communication and meetings
Solve data engineering interview questions
Improve your problem-solving and technical skills.
Browse courses on Data Engineering
Show steps
  • Identify common data engineering interview questions
  • Review data structures and algorithms
  • Practice solving interview questions
  • Participate in mock interviews

Career center

Learners who complete Data Engineering Career Guide and Interview Preparation will develop knowledge and skills that may be useful to these careers:
Data Engineer
As a Data Engineer, you will need to be comfortable working with data and have a strong understanding of data engineering principles. This course will help you build a foundation in data engineering and prepare you for the job market. You will learn about the regular functions and tasks of Data Engineers and their place in the data ecosystem, as well as the opportunities of the profession and some options for career development.
Big Data Engineer
As a Big Data Engineer, you will need to be able to design and implement data pipelines to process large volumes of data. This course will help you build a foundation in data engineering, which is a critical skill for Big Data Engineers. You will learn about the regular functions and tasks of Data Engineers and their place in the data ecosystem, as well as the opportunities of the profession and some options for career development.
Data Scientist
As a Data Scientist, you will need to be able to collect, analyze, and interpret data to solve business problems. This course will help you build a foundation in data engineering, which is a critical skill for Data Scientists. You will learn about the regular functions and tasks of Data Engineers and their place in the data ecosystem, as well as the opportunities of the profession and some options for career development.
Software Engineer
As a Software Engineer, you will need to be able to design, develop, and maintain software applications. This course will help you build a foundation in data engineering, which is a valuable skill for Software Engineers. You will learn about the regular functions and tasks of Data Engineers and their place in the data ecosystem, as well as the opportunities of the profession and some options for career development.
Data Analyst
As a Data Analyst, you will need to be able to collect, analyze, and interpret data to solve business problems. This course will help you build a foundation in data engineering, which is a valuable skill for Data Analysts. You will learn about the regular functions and tasks of Data Engineers and their place in the data ecosystem, as well as the opportunities of the profession and some options for career development.
Database Administrator
As a Database Administrator, you will need to be able to manage and maintain databases. This course will help you build a foundation in data engineering, which is a valuable skill for Database Administrators. You will learn about the regular functions and tasks of Data Engineers and their place in the data ecosystem, as well as the opportunities of the profession and some options for career development.
Data Warehouse Engineer
As a Data Warehouse Engineer, you will need to be able to design and implement data warehouses. This course will help you build a foundation in data engineering, which is a valuable skill for Data Warehouse Engineers. You will learn about the regular functions and tasks of Data Engineers and their place in the data ecosystem, as well as the opportunities of the profession and some options for career development.
Business Intelligence Analyst
As a Business Intelligence Analyst, you will need to be able to use data to make informed decisions. This course will help you build a foundation in data engineering, which is a valuable skill for Business Intelligence Analysts. You will learn about the regular functions and tasks of Data Engineers and their place in the data ecosystem, as well as the opportunities of the profession and some options for career development.
Cloud Engineer
As a Cloud Engineer, you will need to be able to design, develop, and maintain cloud-based applications. This course will help you build a foundation in data engineering, which is a valuable skill for Cloud Engineers. You will learn about the regular functions and tasks of Data Engineers and their place in the data ecosystem, as well as the opportunities of the profession and some options for career development.
Data Quality Analyst
As a Data Quality Analyst, you will need to be able to assess the quality of data. This course will help you build a foundation in data engineering, which is a valuable skill for Data Quality Analysts. You will learn about the regular functions and tasks of Data Engineers and their place in the data ecosystem, as well as the opportunities of the profession and some options for career development.
Data Governance Analyst
As a Data Governance Analyst, you will need to be able to develop and implement data governance policies. This course will help you build a foundation in data engineering, which is a valuable skill for Data Governance Analysts. You will learn about the regular functions and tasks of Data Engineers and their place in the data ecosystem, as well as the opportunities of the profession and some options for career development.
Data Integration Specialist
As a Data Integration Specialist, you will need to be able to integrate data from different sources. This course will help you build a foundation in data engineering, which is a valuable skill for Data Integration Specialists. You will learn about the regular functions and tasks of Data Engineers and their place in the data ecosystem, as well as the opportunities of the profession and some options for career development.
Data Privacy Analyst
As a Data Privacy Analyst, you will need to be able to ensure that data is used in a compliant manner. This course will help you build a foundation in data engineering, which is a valuable skill for Data Privacy Analysts. You will learn about the regular functions and tasks of Data Engineers and their place in the data ecosystem, as well as the opportunities of the profession and some options for career development.
Machine Learning Engineer
As a Machine Learning Engineer, you will need to be able to design, develop, and deploy machine learning models. This course will help you build a foundation in data engineering, which is a valuable skill for Machine Learning Engineers. You will learn about the regular functions and tasks of Data Engineers and their place in the data ecosystem, as well as the opportunities of the profession and some options for career development.
Data Architect
As a Data Architect, you will need to be able to design and implement data architectures. This course will help you build a foundation in data engineering, which is a valuable skill for Data Architects. You will learn about the regular functions and tasks of Data Engineers and their place in the data ecosystem, as well as the opportunities of the profession and some options for career development.

Reading list

We've selected seven books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Data Engineering Career Guide and Interview Preparation.
This text provides a deep dive into the design and architectural considerations for data-intensive applications, which is an important aspect of modern data engineering systems.
To master data engineering, a command of Python programming is essential. This text can help learners new to Python build the necessary background.
Is more academic than the course material but great resource for deeper understanding of the concepts covered in the course, particularly data modeling and distributed systems design.
Practical guide to Apache Spark, a popular framework for distributed data processing. It complements the course by providing more detailed information on this technology.
Introduces the concept of data mesh, which is an emerging architectural approach for organizing and managing data in complex systems. It could provide learners with additional insights into the broader data landscape.
Provides a broad overview of big data management, including architectures, technologies, and applications. It can serve as a useful reference for learners interested in gaining a wider perspective on the field.

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