- \n
- \n
Highlight today\u2019s in-demand skills<\/p>\n
<\/div>\n<\/li>\n- \n
Don\u2019t mention every tool<\/p>\n
<\/div>\n<\/li>\n- \n
Be (very) specific<\/p>\n
<\/div>\n<\/li>\n<\/ol>\n<\/div>\n\n\n\n\n\n\nAccording to an eye-tracking study by career development group Ladders, Inc., hiring managers spend an average of 7.4 seconds<\/a> looking at a resume. You need to catch their eyes quickly and definitively, proving that you have what it takes to power a company\u2019s entire data system. <\/p>\n\n\n\n
A resume is your initial interaction with an organization and a potential employer. While applying for any data engineer job, always ensure to customize your resume based on the job you are applying for. Creating a universal resume copy and bombarding job portals with the same copy, would do you no good.<\/p>\n\n\n\n
We consulted our career coaches and curated these 3 tips to help you craft an impactful resume that would help you land your dream data engineering job.<\/p>\n\n\n\n
1. Highlight today\u2019s in-demand skills<\/strong><\/h4>\n\n\n\n
Today’s data engineers need a broad set of skills, and hiring managers want to know that candidates are up to date. In 2020, when Google updated its data engineer learning track, it pointed specifically to the growth of two specific skill sets:<\/p>\n\n\n\n
- \n
- Machine learning<\/a> and AI (including dynamic programming, neural network architectures, algorithm optimization)<\/li>\n\n\n\n
- Business intelligence<\/a> (data analysis, industry trend analysis, and strategic planning, for example)<\/li>\n<\/ul>\n\n\n\n
\u200cCompanies increasingly demand these skills from data engineers and not just from data scientists. Since data engineers’ programming skills are more advanced when compared to data scientists<\/a>‘. They are befitted for building high-availability production systems. Furthermore, data engineers implement machine learning algorithms for a suitable production environment. Hence, these ML and BI skills come in handy.<\/p>\n\n\n\n
If you have these skills, there are several ways to indicate them on your resume<\/a>:<\/p>\n\n\n\n
- \n
- List competencies relevant to the job in your skills section<\/li>\n\n\n\n
- Include machine learning, AI, or business intelligence training in your education section<\/li>\n\n\n\n
- Describe projects and achievements that used these skills for previous jobs<\/li>\n<\/ul>\n\n\n\n
Here is an example of how you can showcase your AI skills in your resume, courtesy of EnhanCV<\/a>:<\/p>\n\n\n\n
![\"Data](\"https:\/\/www.springboard.com\/blog\/wp-content\/uploads\/2021\/04\/data-engineer-resume-how-to-demonstrate-ai-skills-on-your-resume.png\")
Source: EnhanCV<\/a><\/figcaption><\/figure>\n\n\n\n While reviewing your skills, organizations want to evaluate your skills competency and hence, they are looking to understand the impact you were able to bring using the skills and technologies you mention in your resume. Always ensure to highlight the final outcome of the project and your contribution towards the same.<\/p>\n\n\n\n
2. Don\u2019t mention every tool<\/strong><\/h4>\n\n\n\n
As much as you want to show your versatility as a data engineer, hiring managers are primarily concerned with confirming you have the skills you’ll need with their company. Look at the job description, and make sure your skills section includes the capabilities the hiring company requests.<\/p>\n\n\n\n
Don\u2019t forget this step! Many top companies today use applicant tracking systems to screen resumes. An ATS will scan a resume for an exact match of the skill or experience the hiring manager told it to look for. The more named skills you have on your resume, the more likely you are to get in front of a hiring manager.<\/p>\n\n\n\n
For example, here are the skill requirements for a data engineer job<\/a> listed in April of 2021:<\/p>\n\n\n\n
![\"Data](\"https:\/\/www.springboard.com\/blog\/wp-content\/uploads\/2021\/04\/Data-Engineer-Job-Description-Required-Skills-2.png\")
Source: Dice<\/a><\/figcaption><\/figure>\n\n\n\n For this job, the ideal candidate’s skill section would explicitly mention:<\/p>\n\n\n\n
- \n
- SQL<\/li>\n\n\n\n
- Snowflake (AWS)<\/li>\n\n\n\n
- AWS Redshift, Azure Data Warehouse (Synapse), or Google BigQuery<\/li>\n\n\n\n
- Databricks<\/li>\n\n\n\n
- Pandas<\/li>\n\n\n\n
- Python<\/li>\n\n\n\n
- Apache Spark<\/li>\n<\/ul>\n\n\n\n
3. Be (very) specific<\/strong><\/h4>\n\n\n\n
Data engineer skills are as precise as they come. Your resume should cover them as specifically and concisely as possible. <\/p>\n\n\n\n
List the relevant programming languages, operating systems, and database solutions you\u2019ve used, and highlight what those skills have allowed you to do. Don\u2019t just say that you know Apache Kafka\u2014describe a successful project you worked on using that tool.<\/p>\n\n\n
Get To Know Other\tData Science Students<\/h4>
- Business intelligence<\/a> (data analysis, industry trend analysis, and strategic planning, for example)<\/li>\n<\/ul>\n\n\n\n
- \n
![\"Garrick](\"https:\/\/res.cloudinary.com\/springboard-images\/image\/upload\/v1629203194\/Student%20Success\/Garrick_Chu_125x125.png\")
<\/a>![\"Jonathan](\"https:\/\/res.cloudinary.com\/springboard-images\/image\/upload\/v1629203194\/Student%20Success\/Jonathan_Orr_125x125.png\")
<\/a>![\"Mengqin](\"https:\/\/res.cloudinary.com\/springboard-images\/image\/upload\/v1629203193\/Student%20Success\/Cassie_Gong_125x125.png\")
<\/a>![\"Data](\"https:\/\/www.springboard.com\/blog\/wp-content\/uploads\/2021\/04\/Technical-Expertise-in-data-engineers.jpeg\")
![\"Data](\"https:\/\/www.springboard.com\/blog\/wp-content\/uploads\/2021\/04\/big-data-engineer-resume-sample.png\")
![\"Data](\"https:\/\/www.springboard.com\/blog\/wp-content\/uploads\/2021\/04\/data-engineer-resume-sample-2.jpeg\")
![\"Best](\"https:\/\/www.springboard.com\/blog\/wp-content\/uploads\/2021\/04\/data-engineer-resume-sample-1.png\")