SparklyNoodle

Rate My Techstack: Potential Data Engineering Roles

I will be using a scale of 10 for better quantification.

Python : 7/10 SQL: 7/10 PowerBI: 9/10 ML(Pandas): 6/10 PLSQL: 6/10 Advanced Excel: 8/10 Azure Databricks + DataFactory : Started learning Apache Spark: Started learning Communication skills: 9/10

Prior Work Ex: 1.8yrs as a PLSQL developer (started off as a fresher) + one SAP internship of 4months + one Data analyst internship of 1 month

Aspiration : Data Engineering Role

Is the above techstack enough to get me a good data engineering role? Will I be able to clear the technical rounds at companies like accenture, IBM etc with this profile? I have heard the barrier to entry for data engineering is higher than that of data analyst.
Do I need to learn DSA?
What salary range do I fall in with this profile?

I seek your honest answer. I feel lost.

Also, should I focus more on improving my cloud skills or shall I be more competent with my python skills? Which one would pay me off in a better sense financially? I certainly can not focus on all the tools at once.

6mo ago

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ZestyDonut

Stealth6mo

This tech stack is enough for DE roles. DSA is generally asked these days. Concentrate on easy/mid level leetcode.

Practice SQL advanced, ETL concepts. Designing schema’s. It should be more than enough.

SparklyNoodle

Stealth6mo

@TheOatmeal Okay,

The thing is I am highly intimidated by DSA. You know the kind of hype that these youtubers have made, I just feel so uncomfortable when I look at those questions. This is primarily why I never got inclined to roles such as SDE that require vanilla coding. Any way to loosen that up? How do I get rid of that?