Data Engineering Education Recruiting Software Engineering 
Cloudera
FEBRUARY 15, 2023
This month’s #ClouderaLife Spotlight features software engineer Amogh Desai. Meet Amogh Desai Amogh lives in Bangalore and joined Cloudera, first as an intern and then full-time in July of 2021 as a software engineer. Amogh has the unique experience of working on CDP Data Engineering during his internship.
CIO
JANUARY 10, 2023
Recruiters are opening the door for so much talent of different genders, education, nationalities, and beliefs,” Barley says. More and more companies are now walking the walk when it comes to inclusivity, not only during recruiting but in focusing on retention and working with employees on their career pathways,” she says.
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Mobilunity
AUGUST 3, 2021
The cloud offers excellent scalability, while graph databases offer the ability to display incredible amounts of data in a way that makes analytics efficient and effective. Who is Big Data Engineer? Big Data requires a unique engineering approach. Big Data Engineer vs Data Scientist.
CIO
DECEMBER 1, 2022
Tapped to guide the company’s digital journey, as she had for firms such as P&G and Adidas, Kanioura has roughly 1,000 data engineers, software engineers, and data scientists working on a “human-centered model” to transform PepsiCo into a next-generation company.
Hacker Earth Developers Blog
NOVEMBER 29, 2022
Isabella is a recruiter at a multinational company with 1000+ employees. Her responsibility is to recruit the top talent—which she performs well by consistently looking for candidates that fit the company culture, collecting their information, reaching out to them, screening them, and finally interviewing them. Candidate sourcing.
CIO
APRIL 24, 2023
Fast-forward five years and Merola is now a senior software engineer, writing code, promoting agile practices, and working with business partners to advance The Hartford’s digital agenda. “The The HartCode Academy changed my life and my career path completely,” says Merola. “The Today, those two strategies are no longer enough.
O'Reilly Media - Ideas
MARCH 31, 2020
This shift requires a fundamental change in your software engineering practice. The model outputs produced by the same code will vary with changes to things like the size of the training data (number of labeled examples), network training parameters, and training run time. How do you select what to work on?
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