We may earn an affiliate commission when you visit our partners.
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/i0wnrp/data
Two deals to help you save
Save money when you learn. Here are two deals and offers that may be relevant to this course.
All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.
Valid until July 14
Coursera Plus Annual
Work toward what's next for your career with access to 10,000+ programs. Discover emerging skills and save.
Up to
40%
off
Get offer
Valid until August 30
Google AI App Builder
Learn how to use Gemini API and API Studio with a three-course series from Google DeepMind
Take
100%
off
Get offer
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.
Read more
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.
Read more
Traffic lights
Traffic lights
Read about what's good
what should give you pause 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
Save this course
Create your own learning path.
Save this course to your list so you can find it easily later.
Save
Save
Reviews summary
Practical data engineering career and interview guidance
According to students, this course is a highly practical and actionable guide for anyone aiming for a data engineering career. Learners found it particularly useful for navigating the job market, praising its sections on building a powerful resume and portfolio and providing valuable interview preparation tips, covering both behavioral and technical aspects. Many consider it an excellent resource for career changers and beginners in the field, helping them understand the data engineering role and job search process effectively. While it offers comprehensive career guidance, some more experienced learners or those expecting deep technical interview practice noted a lack of hands-on coding challenges or advanced technical depth.
Provides a well-structured and clear overview of the job search process.
"It's a well-structured course that helps me prepare effectively for the job market."
"The course is clear and concise, making complex topics easy to digest for job seekers."
"I got a comprehensive overview of the data engineering role and job search process from this course."
Highly beneficial for aspiring data engineers and career changers.
"This course is great for beginners in data engineering, clarifying the field and career path."
"As someone looking to transition into data engineering, this course helped me understand the career landscape."
"I highly recommend it for career changers or those just starting in the data engineering field."
Provides actionable strategies for creating impactful job application materials.
"The course gave me specific tips on how to build a powerful resume and portfolio, which is very helpful for job search."
"I found the sections on resume and portfolio creation particularly actionable and directly applicable."
"This course provides practical tips to build a resume and portfolio to help you stand out from the crowd."
Offers comprehensive advice for navigating various types of job interviews.
"The interview section of this course is really great, offering insights into what to expect."
"I appreciate the detailed guidance on different interview types, including behavioral and technical aspects."
"The mock interview questions and advice were invaluable for building my confidence."
"It provides tips and steps I can use to perform professionally and effectively at interviews."
Focuses on career guidance over in-depth technical interview skills.
"While excellent for career guidance, I wished there were more hands-on coding challenges for interview prep."
"The course is light on actual technical depth needed for some DE interviews, focusing more on soft skills."
"I was hoping for more practical SQL or Python interview questions, but it's more about the process."
"Lacked deep technical insight which I was hoping for when preparing for an interview."
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
Show steps
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'
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Review professional resume writing practices
Show steps
Enhance your preparation for job-seeking.
Browse courses on
Resume Writing
Show steps
Show steps
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'
Show steps
Gain in-depth insights into data engineering principles.
View
Secret Colors
on Amazon
Show steps
Show steps
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
Show steps
Enhance your technical knowledge and skills.
Browse courses on
Big Data Analytics
Show steps
Show steps
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
Show steps
Enhance your understanding and retention of key concepts.
Browse courses on
Data Engineering
Show steps
Show steps
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
Show steps
Expand your professional network and learn about industry trends.
Browse courses on
Networking
Show steps
Show steps
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
Show steps
Connect with others, share knowledge, and support each other's learning.
Show steps
Show steps
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
Show steps
Seek guidance, insights, and support from industry professionals.
Browse courses on
Mentorship
Show steps
Show steps
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
Show steps
Improve your problem-solving and technical skills.
Browse courses on
Data Engineering
Show steps
Show steps
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
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.
Data Scientist
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.
Big Data Engineer
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.
Software Engineer
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.
Database Administrator
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 Analyst
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.
Business Intelligence Analyst
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.
Machine Learning Engineer
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
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.
Cloud Engineer
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 Governance Analyst
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
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 Warehouse Engineer
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.
Data Quality Analyst
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 Privacy Analyst
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.
For more career information including salaries, visit:
OpenCourser.com/course/i0wnrp/data
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.
Is considered a classic in the field of data warehousing, a crucial component of the data engineering ecosystem.
To master data engineering, a command of Python programming is essential. This text can help learners new to Python build the necessary background.
Save
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.
Save
Practical guide to Apache Spark, a popular framework for distributed data processing. It complements the course by providing more detailed information on this technology.
Save
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.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/i0wnrp/data
Share
Similar courses
Similar courses are unavailable at this time. Please try again later.
Rating
4.7
Effort
11 hours to complete
Level
Introductory
Via
Coursera
Institution
IBM
Instructor
IBM Skills Network Team
Language
English
Transcripts
Español
Français
Português
Deutsch
Italiano
中文
العربية
한국어
日本語
हिंदी
Nederlands
Svenska
Pусский
Türkçe
Polski
Ελληνικά
українська мова
magyar nyelv
Bahasa Indonesia
ไทย
қазақша
اُردُو,
فارسی
বাংলা
tiếng Việt
پښتو
آذربایجان دیلی
Our mission
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
Affiliate disclosure
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.
© 2016 - 2025 OpenCourser