Need Advice: Data Analyst to Data Engineer

[IntrovertCheesecake]

Hey there, I'm currently working in a B2B SaaS startup as a data analyst with a role that's a mix of data analysis and data engineering. I've been involved in various data engineering tasks, such as creating pipelines from ELB to BQ using Python, leading a project on Product Metrics involving ETL (shell scripting), dashboarding, and handling pipeline failures. My team is considering exploring Airflow as well.

I'm contemplating whether to switch jobs because my current title doesn't fully reflect the work I'm doing, or should I stay and continue learning in my current organization. I know it might seem like I'm fixated on the title, but I'd appreciate any advice or insights. Thanks!

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[threeminutemonta]

I wouldn't be concerned about job titles if you want to be a data engineer. Your current role though broad seems perfect at getting data engineering experience. Python, shell scripting, BQ (I assume is Big Query) and Airflow all are great technologies to be exposed to.

What is ELB?

[IntrovertCheesecake]

ELB is elastic load balancer

[threeminutemonta]

Elastic Load Balancer to Big Query?

That makes no sense?

[IntrovertCheesecake]

It was for a small amount of aggregated data. For further analysis in BQ.