Need to switch

I am currently working as PA in Cognizant. My current role is a Data Engineer Developer. I have a total experience of 2 years since I joined the company in 2022. My current skill set includes DATA WAREHOUSE CONCEPTS, ETL VALIDATION, ETL DEVELOPMENT, SQL SERVER, SSIS, AZURE DATA FACTORY, AZURE DATABRICKS & PYTHON. I am based in Kolkata. If there is any good referral for me please provide 🙏🏻 Thanks in advance, any guidance or advice will be appreciated!

Hello All, I am actively looking for a job switch having 3 yrs of Exp in Accenture as a Snowflake Developer. I have been not getting any hike from last two years as accenture is skipping for all employees. I badly wanted to shift to bear my expenses. Please anyone help me if your company has openings for Snowflake Developers. Thanks in Advance!!

Currently I am working in SQL which is kind of support work and I am trying to switch. I have 9 years of experience and in the same company. It's true that I made a huge mistake by staying in the same company and now I am struggling as I don't have many skills to list. I am planning to switch to snowflake by taking course and certification..since I have SQL experience..will that be a good option considering my experience, year of experience and in terms of package also. Please advise.

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.

Role: Associate Analyst/ Analyst/ Junior Data Engineer Exp: 1 year exp. Tools: Power BI, Databricks, AWS cloud, Snap.Py , Confluence, Visier, Cornerstone, ServiceNow Languages: Python, C++, SQL Industry: Pharma Consulting, Pharma analysis, Human Capital Analysis Currently based in Delhi, INDIA Would love for opportunities outside India Do not judge, I am just ambitious.

Hi all Currently working In Capgemini with package of 4.5lpa With 1.5+Year Of Experience Current skills: Sql, Python(Basic) , Pyspark, Azure Data Bricks I have Certification Like az900,DP203 Want to switch by the end of the Year 2024 What skill should I learn more to get more package 10+ package And also want to get In product base company but don’t know should I learn DSA or No if Yes then what topic should I learn Please Guide me Thank you

I have SQL experience and I am trying to switch. In terms of switching, which one will be a good option.. and any course suggestion to get hands on.. please help

So I am currently working as a data analyst. Main tech stack is SQL, Python , pyspark , snowflake and databricks . I feel like I am not learning enough in the role so wanna switch after 1 year. Does anyone have any job openings . Open to startups as well as big companies .