I am trying to switch to a Data engineering role in a product based company. Please suggest some great practices and strategies to learn DSA with python and SQL to crack interviews at product based companies. I have experience working in AWS data orchestration where I worked on step function creation, Glue, lambda, event bridge. Also used version control like GitHub. Please suggest a way to crack interviews at product based companies for data engineering roles.
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. Ho...
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 gu...
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 Communic...
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 ...
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...