Data engineering interviewThese data engineering hacks can help you score good marks in interviews.

Data engineering in today’s world is a crucial tech job. A data engineer is responsible for data cleaning, maintaining data pipeline, preparation, and more. The primary job of a data engineer is to source and collect data from a variety of sources and make it easy to comprehend so that businesses can use that for improving their performance and growth. In the post-pandemic era, the demand for data engineers has been gaining a lot of prominences. Here are the best 10 hacks that can help you crack data engineering interviews.

1. Practice Coding

Coding is one of the key skills that are vital for data engineering professionals.  So programming skills of Python, Sacala, R are needed. Most of the data engineer interviews are about these languages, designing algorithms, and working with the data structure. Real-time practicing with coding is the way forward to acquire a job. 

2. SQL 

SQL is a crucial skill for data engineers for building reliable and scalable data processing models. There are platforms that allow one to solve problems based on SQL skills. And these can also help in learning basics and writing more efficient SQL queries. This is one of the best skills to learn for data engineering experts. 

3. Build real-time data architecture 

It can help in working on particular concepts of data engineering such as architectures and building data structures. It allows you to practice easy to medium-level problems so that you can get a hang of the concepts. Data engineering also helps you learn problem-solving and become an expert. 

4. Refer to the official documentation

To equip you with big data technologies and concepts such as Kafka, Hadoop, Spark, Cassandra, and Hive you should go through the official documentation that gives detailed insights into the workings, keeping you abreast, and best practices to follow with the latest developments in these tools. 

5. Problem-solving 

While working on a data engineering project, apart from implementing the right technologies. Most of the data engineering interviews would like to know your thought process and the way you approach the problem. Break the projects that you have done so far into smaller parts and practice explaining each of the processes and technologies in detail. 

6. Practice with paper

Even though it is a generic hack, data engineering professionals project, apart from implementing the right technological tools, it is vital to make note of all your solutions. They may help you to refer back and to understand things much more clearly. 

7. Solve puzzles 

Puzzles in data engineering and data science interview helps in recollecting and memorizing the content in a much fun way and help interviewers quickly understand their analytical skills and thought process. It is a good idea to solve as many puzzles as possible to get creative, logical, and quick with numbers. 

8. Participation in events 

Hackathons and competitions are the best for developing your skills better. There are many hackathon platforms such as Kaggle, Machine Hack, HackerEarth, and many more which can help you practice and compete with other professionals in testing the knowledge.

9. Focus on the resume 

It goes without saying that a resume is your first introduction to you and it needs to stand out. It should focus on all the big data and data engineering skills that you have acquired over the years. Also, be sure to be able to explain all the tools and technologies that you have listed on the resume to the interviewer. Read more about how to prepare a resume for a data engineering interview here.