I am a software developer who is primarily focused on building or maintaining code in the salesforce platforms. I would like to move into the data engineering or data science domain. I feel like I have a good logical, analytical skills. I have done a couple of data engineering projects through MOOC like Udacity. Also, recently I completed my certification as Cloud era Spark and Hadoop developer. When I give interviews to data engineering roles, how should I approach the traditional “Tell me about yourself” question? All the projects that I did in MOOC/ any open source was not the same amount of data that would be used in any real time industry due to which I am not able to answer any optimization related questions that comes in the way of interview. I have given some of the interviews and even after I successfully complete the coding/SQL rounds, I feel somewhere I lose the point of selling myself as a data engineer ? I feel confident in clearing any coding or SQL challenge. But I need some help here to acquire other skills to crack Data engineering interviews? I have like a couple of interviews with Spotify and Uber in upcoming weeks. How should I prepare myself ?
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I think it depends on whether you're going to be focused on tooling or data product dev. On the tooling side youre going to need to focus your response more on traditional software design. On the data product its a mix of "how do I create value from this" as well as "how can i make this reliable and failure tolerant". I'm not sure how much other companies focus on raw LC style optimization during interviews. DE is a weird role right now bc it means something different to each company. From your limited information it seems like your previous experience is largely developing existing projects with clear goals and use cases? DE can be a very messy set of responsibilities. You may want to focus on interacting with ambiguous problems. What part of the ecosystem are you currently most confident in?
Thanks for the response! I am confident in building spark or ETL applications. I also worked on a project in Kafka where I was worked with the stream of real time data. I want to focus more on the data product dev. I am passionate in working on building end to end data pipelines but I don’t have any professional experience at work in doing this but I do have some experience working on a lot of pet projects. My professional experience is more on using any ETL tool or working as a data analyst to produce reports or dashboards using tools like Tableau or Qlik Sense.