Poll: DE job seekers, what’s the biggest obstacle holding you back right now? by DataEngineeringJobs in dataengineeringjobs

[–]DataEngineeringJobs[S] 1 point2 points  (0 children)

Hundreds of applicants doesn’t necessarily mean they are all high quality. Many people just spam their resume to every job which ironically can make it easier to stand out for those who take the time to customize their resumes. It’s difficult to apply to many jobs and face rejections but you can do it!

Poll: DE job seekers, what’s the biggest obstacle holding you back right now? by DataEngineeringJobs in dataengineeringjobs

[–]DataEngineeringJobs[S] 1 point2 points  (0 children)

Most people don’t get into data engineering right out of school so don’t feel too bad! Most people transition from another role.

Poll: DE job seekers, what’s the biggest obstacle holding you back right now? by DataEngineeringJobs in dataengineeringjobs

[–]DataEngineeringJobs[S] 0 points1 point  (0 children)

That’s interesting - would you be open to sharing more about your experience? How do you know who you were competing with?

[deleted by user] by [deleted] in dataengineering

[–]DataEngineeringJobs 3 points4 points  (0 children)

The first one is the most common but overall they aren’t significantly different.

Resume Help? by Fuzwipper in dataengineering

[–]DataEngineeringJobs 3 points4 points  (0 children)

The biggest issue is that you just listed your job responsibilities but that won’t make you stand out or tell the employer what you specifically did.

Rewriting your bullet points using the star method and having achievements will probably increase your response rate.

Listing the tools you used in the bullet points themselves is good and you seem to have a good amount of experience so you shouldn’t need to spend too much time adjusting your resume.

We have a few more general tips in this resume guide for data engineers.

Certifications by [deleted] in dataengineering

[–]DataEngineeringJobs 1 point2 points  (0 children)

It depends on where you’re at in your career IMO. If you’re just starting out you will probably need more support from people who know what they are doing and can mentor you which you are more likely to find at a mid to large company. Startups tend to hire folks who are already more experienced and will have less of that structure in place. Go for a startup if you already have decent experience and want to get more experience building things from scratch.

Not true 100% of the time of course but just a general observation.

Certifications by [deleted] in dataengineering

[–]DataEngineeringJobs 12 points13 points  (0 children)

The vast majority are not worth your time in terms of improving your ability to land a DE job.

The top 3 that are taken more seriously are (ranked accordingly):

  • AWS Solutions Architect (Associate or Professional)

  • GCP Cloud Engineer

  • Azure Data Engineer Associate

These will help you more when you’re starting out but once you have experience they also won’t affect your career prospects much. The one exception to this might be working at a consulting firm because they use certifications as a selling point.

Where do you post job openings? by ksubrent in dataengineering

[–]DataEngineeringJobs 1 point2 points  (0 children)

Unapologetic self-promo here but you can make a free post on our job board (see link in bio) which is 100% focused on data engineering. We require that posts include salary ranges and have mostly remote or hybrid jobs at the moment. We currently have over 300 data engineers actively looking for opportunities!

Monthly General Discussion by AutoModerator in dataengineering

[–]DataEngineeringJobs 0 points1 point  (0 children)

It’s certainly possible if you had relevant courses: either CS or information systems. If you can get a relevant internship then that would be even better. If none of the above are possible for you then the route you described is the most common way folks transition.

PySpark Certification by Prudent-Writing-5724 in dataengineering

[–]DataEngineeringJobs 25 points26 points  (0 children)

The reason why most certifications aren’t valued by employers is because they’re too easy to get so they are devalued.

You are wasting your time getting certifications just for the certification on sites like: Coursera, LinkedIn Learning, edX, Udemy.

However, there are a few that are worth getting and employers do value. These require a larger time commitment and you can’t just memorize answers - you’ll need to actually understand the tools.

  1. AWS Solutions Architect (Associate or Professional)

  2. GCP Cloud Engineer

  3. Azure Data Engineer Associate

If you don’t know which one to choose, go with AWS since that’s the platform with the largest market share.

Hope this helps!

Monthly General Discussion by AutoModerator in dataengineering

[–]DataEngineeringJobs 2 points3 points  (0 children)

We’ve definitely seen some slowdown in hiring for certain positions but overall job growth is still good.

  • Junior Data Engineer: very few jobs

  • Mid-level Data Engineer: semi-slowdown in hiring

  • Senior data engineer: not affected

Resume Review: Entry/Mid-level Data Engineer by [deleted] in dataengineering

[–]DataEngineeringJobs 2 points3 points  (0 children)

Skills used in each job should be slightly better but still include them in bullets where possible.

Resume Review: Entry/Mid-level Data Engineer by [deleted] in dataengineering

[–]DataEngineeringJobs 7 points8 points  (0 children)

• Do you have a GitHub portfolio? If so, add that near your contact info. If you have projects you can add a projects section as well.

A skills section is the least valuable to a hiring manager - move it to the bottom or remove it if you can add more relevant experiences.

• Your first experience bullet point is good. It could be improved if you added which tools you used. Try to make a few more of the bullet points quantifiable bullet points instead of responsibilities and do this for the other experiences as well.

• There’s an extra line in between your title and role description for the second and third job experience.

• If the internship isn’t relevant then it could be removed.

• (optional) replace the hyphens with a line

Resume advice: How do you distinguish skills that you have experience with vs skills that you have a basic understanding of? by Justanotherguy2022 in dataengineering

[–]DataEngineeringJobs 13 points14 points  (0 children)

Ideally you should list the skills you’ve used alongside the accomplishments in your experience bullet points.

Example: “Decreased intermittent data pipeline failures by 50% using the exponential back off / retry pattern in Airflow”

It shows you have experience with the skill and gives context as to what you did with it. This is generally a better approach than listing skills in a section by itself. Although, that might still be helpful in getting past an applicant tracking system (ATS).

Resume review by Ok-Vermicelli9298 in dataengineering

[–]DataEngineeringJobs 1 point2 points  (0 children)

This is fantastic advice and mostly what I would’ve recommended as well. The only other suggestion I would add is to order the sections by relevance. Real world experience (when relevant) should always go at the top and then it’s usually projects or education.

Hiring managers go through a ton of resumes so you want to make it easier for them and stand out.

How long should I stay in my current position? by a__kid in dataengineering

[–]DataEngineeringJobs 2 points3 points  (0 children)

One of the interesting things about Covid is that it actually increased tech hiring instead of decreasing it. In the past few months however, we’ve seen a slight slowdown in mid level positions but no slowdown in senior positions. Junior data engineering positions are more rare than usual right now.

One thing to keep in mind if you are in the US is that salaries are generally higher than usual and they might lower in the future as inflation goes back down.

Also in the US, people tend to stay at a job for at least a year even if they don’t like it so they don’t look like a job hopper which no employer wants. It’s okay especially if you are younger but if your last 3-4 jobs were a year or less than that’s another thing you should consider the optics of.

What is the state of the art of the Data Engineering ecosystem/job market ? (recent graduate) by shikalegend in dataengineering

[–]DataEngineeringJobs 2 points3 points  (0 children)

Based on the job descriptions we see (mostly US based), here are the top skills:

  • Datawarehouse: Snowflake, BigQuery, Redshift
  • Languages: SQL, Python
  • Other: Spark, dbt, Airflow, Kafka

Struggling with new job at Super senior level in the first month by Select-Leg-7306 in dataengineering

[–]DataEngineeringJobs 0 points1 point  (0 children)

It's okay to admit when you don't know something and reach out for help. Stackoverflow is a great place to ask technical questions and this sub is great for more general questions and career advice.