Strategies for learning DSA with python, SQL, Spark

I have 6 YOE as QA. First 3 years I was into manual testing and now since past 3 years, I am an SDET with tech stack- python, pytest , playwright, selenium. I am planning for the job switch now. I have not used much of DSA in my work. However I understand DSA is a must to clear interviews. I need help in preparation. From where and How to start the preparation? Please update your strategies , so that it will be helpful for all those preparing for interviews.

I am an engineer working in Deloitte. Overall Exp 6.5yrs. My tech stack include Python, Data Science & AI-ML and GCP. I wanted to give it a try for product based company. I am not sure from where should I start? Just a little bit of guidance will really going to mean a lot to me. I come from a civil engineer background and I have reached Deloitte through lot of struggles. But I think I can reach further with some help. Need a dronacharya in this kalyug 🙂 Thanks in advance.

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 1. 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. 2. Do I need to learn DSA? 3. 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.

Hey I joined infosys in oct - 2022 and now it’s been 1.8 months. My tech stack is MEAN stack but I was on bench through the year, recently got into a project but for only 4 months. I developed and learned by my own and gained a better knowledge on angular. Now the situation my company has made for me that I need to switch asap, within a month or two. Can anyone suggest me how to prep specifically so that I get offers from other company. My DSA skills are gone and feel like I need to learn again from basics. I have knowledge about angular. Can anyone suggest me how much DSA I should learn and focus right now to clear interviews. I’m planning to get a grasp over python and start doing DSA questions in that plus polishing my angular skills too. I have basic knowledge of node.js MongoDb too. Will I’ll be able to switch within this time frame? Please can anyone guide me through it so that I can plan smartly and can switch. Your help will be really appreciated.

Guys, I have been working in a data warehouse support role for the past two years. My manager is not willing to release me, so I am thinking of resigning. I am proficient in SQL, Python, and Snowflake. What other skills should I learn to enhance my chances of securing a development role, particularly in data engineering? I appreciate your thoughts and feedback.

Hi Everyone, I have 5 ys experience working in Database support with having knowledge in SQL, Scripting and python. I want to switch my role to a Data Engineering job as my current role is not having enough job opportunities outside. I am planning to learn tools on Data Engineering. Like the Data Frameworks: Airflow,SSIS,Azure Factory And Dataworks like Snowflake,Databricks,Postgres I need some guidance on which tool to start learning and if I plan to learn these tools for the next 6 months. Is it possible to crack the interviews....this is my 1st switch to a new company. Can anyone pls suggest which framework, Dataworks tool i need to start and has high possibility for getting switch to new company. If possible can you pls share the learning path 🙏🙏🙏. Thanks in advance.

Hi Everyone, I have 5 ys experience working in Database support with having knowledge in SQL, Scripting and python. I want to switch my role to a Data Engineering job as my current role is not having enough job opportunities outside. I am planning to learn tools on Data Engineering. Like the Data Frameworks: Airflow,SSIS,Azure Factory And Dataworks like Snowflake,Databricks,Postgres I need some guidance on which tool to start learning and if I plan to learn these tools for the next 6 months. Is it possible to crack the interviews....this is my 1st switch to a new company. Can anyone pls suggest which framework, Dataworks tool i need to start and has high possibility for getting switch to new company. If possible can you pls share the learning path 🙏🙏🙏. Thanks in advance.

Hey everyone, happy to answer any questions around Data Science/ML/AI and making a career within it A brief about me, I work currently as a Sr. ML Engineer at an Indian unicorn startup I graduated 5+ years ago and have since worked as a Data Scientist / ML Engineer at an ecommerce company and social media company. My designations have changed based on the industry requirements and work too changed based on that. Would love to take questions on what it means to be an ML Engineer, my early learnings from a career in data science, and thoughts on AI. Look forward to all questions :)

Hey everyone , I am currently working in a consulting company with most work being in sql in snowflake and databricks and python. I wanna switch to sde or data engineer role. Does anyone have experience how can I switch. It seems like analyst in profile is not good. I am already trying to do DSA again. Oh yeah 1 year exp 🙃

I am a JAVA backend dev, currently in TCS with 5.5 yrs of exp. I want to switch to a Product now. My dev skills are good. I have worked in few projects. With this many years of exp, the expectations are too high now, System Design, Kafka, Jenkins, Docker and DSA on top of that. I don't know how to start, once I start preparing DSA I feel like I am missing on reading system design and other stuff. Also, I don't feel confident about my DSA skills. Are there any devs here who were very bad in DSA but are very confident now. Please share your experiences in comments. Since I already have so many years of exp, this is my last chance to switch to a good product company. Please guide.