Unsure of how to upskill as a mid Data Engineer after getting laidoff /u/AyrenZ CSCQ protests reddit

I worked in 2 companies in the past 4 years since i graduated and i was well versed in the inhouse products and on-prem systems. I mainly used Scala to develop data pipelines and data solutions with a few python and java projects along the way. The technologies i frequently used were Spark, Flink, Hive, Airflow, Kafka, Bash, Linux, Scala, Java. Note that i did not use any cloud technologies like AWS, GCP or Azure. Data visuallization tools such as tableau and powerBI are unfamiliar to me as well since we always had equivalent inhouse products.

Unfortunately, I got laid off a few weeks back. After taking a short break and starting to reapply, i have come to realised that my skills are nearly untransferable as most companies are looking for DEs with cloud and data visualization skills along with python and pySpark(i used scala and scala spark).

In the past few weeks i have been doing leetcode style exercises and i plan to take AWS cloud related courses to bolster up my resume as well. But i am wary that hiring managers would not accept online courses as ‘experience’ and i wouldnt fit their criteria.

How should i proceed in improving my skillsets such that i will be a valuable DE in the future?

submitted by /u/AyrenZ
[link] [comments]

​r/cscareerquestions I worked in 2 companies in the past 4 years since i graduated and i was well versed in the inhouse products and on-prem systems. I mainly used Scala to develop data pipelines and data solutions with a few python and java projects along the way. The technologies i frequently used were Spark, Flink, Hive, Airflow, Kafka, Bash, Linux, Scala, Java. Note that i did not use any cloud technologies like AWS, GCP or Azure. Data visuallization tools such as tableau and powerBI are unfamiliar to me as well since we always had equivalent inhouse products. Unfortunately, I got laid off a few weeks back. After taking a short break and starting to reapply, i have come to realised that my skills are nearly untransferable as most companies are looking for DEs with cloud and data visualization skills along with python and pySpark(i used scala and scala spark). In the past few weeks i have been doing leetcode style exercises and i plan to take AWS cloud related courses to bolster up my resume as well. But i am wary that hiring managers would not accept online courses as ‘experience’ and i wouldnt fit their criteria. How should i proceed in improving my skillsets such that i will be a valuable DE in the future? submitted by /u/AyrenZ [link] [comments] 

I worked in 2 companies in the past 4 years since i graduated and i was well versed in the inhouse products and on-prem systems. I mainly used Scala to develop data pipelines and data solutions with a few python and java projects along the way. The technologies i frequently used were Spark, Flink, Hive, Airflow, Kafka, Bash, Linux, Scala, Java. Note that i did not use any cloud technologies like AWS, GCP or Azure. Data visuallization tools such as tableau and powerBI are unfamiliar to me as well since we always had equivalent inhouse products.

Unfortunately, I got laid off a few weeks back. After taking a short break and starting to reapply, i have come to realised that my skills are nearly untransferable as most companies are looking for DEs with cloud and data visualization skills along with python and pySpark(i used scala and scala spark).

In the past few weeks i have been doing leetcode style exercises and i plan to take AWS cloud related courses to bolster up my resume as well. But i am wary that hiring managers would not accept online courses as ‘experience’ and i wouldnt fit their criteria.

How should i proceed in improving my skillsets such that i will be a valuable DE in the future?

submitted by /u/AyrenZ
[link] [comments] 

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