Knowledge Hut

JANUARY 18, 2024

Data science provides several job roles with high salaries. Data Scientist-(average salary: Rs 11 lakhs, can reach up to Rs 25 lakhs) Data analyst-(average salary: Rs 4.2 lakhs) Data architect-(average salary: Rs 23 lakhs, can reach up to Rs 38.5 lakhs) Data engineer-(average salary: Rs8.1

Data Science 52

Data Science Computer Science Programming Language NoSQL 52

Knowledge Hut

OCTOBER 8, 2023

A data engineer builds pipelines to help convert this data into readable and usable formats. To carry out such duties, it’s imperative to understand database management and software engineering. AWS data engineers also need to have a sound understanding of AWS.

AWS 52

AWS Data Engineering Data Engineer Engineering 52

ProjectPro

JUNE 29, 2016

As open source technologies gain popularity at a rapid pace, professionals who can upgrade their skillset by learning fresh technologies like Hadoop, Spark, NoSQL, etc. If you have not sharpened your big data skills then you will likely get the boot, as your company will start looking for developers with Hadoop experience.

Hadoop 40

Hadoop Big Data Banking Consulting 40

Knowledge Hut

DECEMBER 26, 2023

Data Engineering is typically a software engineering role that focuses deeply on data – namely, data workflows, data pipelines, and the ETL (Extract, Transform, Load) process. NoSQL is a distributed data storage that is becoming increasingly popular. What is a Big Data Engineer?

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

ProjectPro

JUNE 17, 2015

CIOs are looking for software engineers who can think beyond what they're doing today and for business analysts who can predict what customers will want next year and the year after that. A big-data resume with Hadoop skills highlighted on the list will attract employer’s attention immediately. from the previous year.

Cloud Computing 40

Cloud Computing Big Data R (Programming) Big Data Skills 40

Rockset

FEBRUARY 17, 2022

Yes, it’s nice to use all the fancy tools, but it’s important to remember that our product is the data. As data engineers, how we engineer said data is important. SQL is our principal language for data. We're seeing an explosion in the data infrastructure space.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52