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Use Git data to optimize your developers’ annual reviews

TechCrunch

We believe that the only unbiased, accurate and insightful way to understand how your developers are working, progressing and — last but definitely not least — how they’re feeling, is with data. It’s still very hard for many managers to fully understand that all employees work at different paces and levels.

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Cortex snags $2.25M seed to build services catalog for development teams

TechCrunch

In addition to the funding, which actually closed last year, the company has continued to build out the product and today it’s announcing Scorecards, a way for engineering managers to enforce services best practices. “It’s so important having a team that comes from different backgrounds.

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Data engineers vs. data scientists

O'Reilly Media - Data

My one sentence definition of a data scientist is: a data scientist is someone who has augmented their math and statistics background with programming to analyze data and create applied mathematical models. A data engineer has advanced programming and system creation skills. Using these engineering skills, they create data pipelines.

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A Comprehensive Guide to Communication Assessment for Recruiters

Hacker Earth Developers Blog

Heres a breakdown of critical metrics and how they apply to technical teams: Clarity Definition: The ability to articulate ideas, technical concepts, or solutions in a straightforward and understandable manner. Relevance Definition: Communicating in a way that focuses on the task or question at hand, without veering into unnecessary details.

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Becoming A Manager of Engineering Managers: What You Need To Know

Honeycomb

Hosted by Marcus Blankenship , Becoming a Manager of Engineering Managers covers key points about the differences between managing engineers and managing people who manage engineers. how it differs from managing just one team. how to give managers effective feedback.

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Diving Deep Into The World Of Data Science With Ashutosh Kumar

Hacker Earth Developers Blog

Also read: Inside The Mind Of A Data Scientist HackerEarth: What are some of the mistakes/misconceptions (top 3) that you have seen recruiters or engineering managers make when hiring data scientists/data analysts? Often, roles are clubbed as ‘data scientist’ simply because of such loose definitions of these terms.

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Headcount goals, feature factories, and when to hire those mythical 10x people

Erik Bernhardsson

That then gets distributed across the org recursively, and every hiring manager gets a target for how many people to hire. Let’s say the CTO is absolutely adamant that they need to grow the engineering team by 2x in a year. This bubbles down to a junior engineering manager.