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Navigating your first 90 days in data engineering

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Navigating your first 90 days in data engineering, available at $54.99, has an average rating of 5, with 52 lectures, based on 5 reviews, and has 31 subscribers.

You will learn about Understand how to navigate your first 90 days as a data engineer. Overcome your doubts and confusions on how and when to get feedback or whom to ask for help. Keenly observe & ask the right questions to demonstrate what hiring managers look out for. Gain confidence in carrying out your core responsibilities while embracing your organizations culture. Exceed expectations during their probation This course is ideal for individuals who are New Data Hires: Data engineers who have recently started a new job and want to ensure a strong start in their new position. or Recent Graduates: Students about to graduate and enter the workforce, looking to prepare for their first data role. or Recent Hiring Managers/HR Professionals: People managers aiming to support new data engineers through their onboarding process. It is particularly useful for New Data Hires: Data engineers who have recently started a new job and want to ensure a strong start in their new position. or Recent Graduates: Students about to graduate and enter the workforce, looking to prepare for their first data role. or Recent Hiring Managers/HR Professionals: People managers aiming to support new data engineers through their onboarding process.

Enroll now: Navigating your first 90 days in data engineering

Summary

Title: Navigating your first 90 days in data engineering

Price: $54.99

Average Rating: 5

Number of Lectures: 52

Number of Published Lectures: 52

Number of Curriculum Items: 52

Number of Published Curriculum Objects: 52

Original Price: $22.99

Quality Status: approved

Status: Live

What You Will Learn

  • Understand how to navigate your first 90 days as a data engineer.
  • Overcome your doubts and confusions on how and when to get feedback or whom to ask for help.
  • Keenly observe & ask the right questions to demonstrate what hiring managers look out for.
  • Gain confidence in carrying out your core responsibilities while embracing your organizations culture.
  • Exceed expectations during their probation

Who Should Attend

  • New Data Hires: Data engineers who have recently started a new job and want to ensure a strong start in their new position.
  • Recent Graduates: Students about to graduate and enter the workforce, looking to prepare for their first data role.
  • Recent Hiring Managers/HR Professionals: People managers aiming to support new data engineers through their onboarding process.

Target Audiences

  • New Data Hires: Data engineers who have recently started a new job and want to ensure a strong start in their new position.
  • Recent Graduates: Students about to graduate and enter the workforce, looking to prepare for their first data role.
  • Recent Hiring Managers/HR Professionals: People managers aiming to support new data engineers through their onboarding process.

Welcome to ‘Navigating Your First 90 Days in Data Engineering’ – a comprehensive guide crafted by Ruvi Raghavan, a seasoned hiring manager with over a decade of experience in the data space. In this course, Ruvi shares invaluable strategies, tips, hacks, and techniques to ensure your smooth transition and success in the crucial first 90 days of your data engineering role.

Uncover the secrets to strategically plan your initial days, avoid costly mistakes, and leave a lasting impression. Whether you’ve just landed a new data engineering job or are seeking your first data role this course is tailored for you. If you are a new people manager in data this course will help set your data engineering team up for success.

You’ll learn to:

  1. Navigate your first 90 days effectively as a data engineer.

  2. Overcome doubts on feedback and seek help strategically.

  3. Observe, ask the right questions, and align with hiring manager expectations.

  4. Gain confidence in core responsibilities while embracing organizational culture.

Structured into 9 objectives, the course guides you through the three phases of your 90-day journey: Learning, Contribution, and Autonomy. Track your progress using the provided checklist and questionnaires, ensuring a personalized and impactful learning experience.

Remember, this course is about mastering the soft skills crucial for success in the dynamic field of data engineering. Get ready to dive in and set the stage for a successful career!”

Course Curriculum

Chapter 1: Course Overview

Lecture 1: What I gained by following the principles laid out?

Lecture 2: What do you get out of this course?

Lecture 3: What is it about?

Lecture 4: What you won't get out of this course

Lecture 5: How does it work?

Chapter 2: Prepare for Day 1 ahead of time

Lecture 1: Gearing up for success

Lecture 2: Draft your profile listing out employment details and your expectations

Lecture 3: Gather information and map out the architecture

Lecture 4: Brush-up on relevant tools & technologies.

Chapter 3: Learn about the company policies and procedures

Lecture 1: Recap & Section Overview

Lecture 2: Maintain a professional journal

Lecture 3: Review the onboarding training

Lecture 4: Meeting your manager

Lecture 5: Purpose behind your role

Lecture 6: Set SMART goals with your manager

Lecture 7: Check if they have a buddy system or who you can reach for help

Lecture 8: Request access to whatever applications your team uses

Lecture 9: Figure how the org tracks goals, KPIs, and milestones

Lecture 10: Meeting your buddy or teammate

Chapter 4: Read relevant code and documentation

Lecture 1: Recap & Section Overview

Lecture 2: Study the code repo

Lecture 3: Check-in with repo contributors

Lecture 4: Figure out the data model

Lecture 5: Delve deep into the data model

Lecture 6: Shadow experienced developers

Lecture 7: Access the production environments

Chapter 5: Understand what the company does inside out

Lecture 1: Recap & Section Overview

Lecture 2: Figure out the different business units and how they operate

Lecture 3: Identify what impact means in your organisation

Chapter 6: Orient to the organization's mission and culture

Lecture 1: Recap & Section Overview

Lecture 2: Attend as many meetings or social gatherings as you can, even if it's virtual

Lecture 3: Get a hang of People Dynamics

Chapter 7: Tinker enough to learn by doing and break nothing

Lecture 1: Recap & Section Overview

Lecture 2: Reflect at the end of phase 1

Lecture 3: Check-in with your manager after 30 Days

Lecture 4: Pick a simple use-case and close all critical knowledge gaps

Lecture 5: Deliver on sub-tasks to get more exposure

Chapter 8: Take control and deliver your first end-to-end task

Lecture 1: Recap & Section Overview

Lecture 2: Managing your tasks – Part 1

Lecture 3: Managing your tasks – Part 2

Lecture 4: Make cheat-sheets as you begin your development journey

Chapter 9: Operate independently and own your tasks

Lecture 1: Recap & Section Overview

Lecture 2: Reflect and fill out the questionairre at the end of phase 2

Lecture 3: Check-in with your manager after 60 Days

Lecture 4: Update your CV with the latest role

Lecture 5: The road ahead from here

Chapter 10: Network

Lecture 1: Recap & Section Overview

Lecture 2: Carve out time to stay updated

Lecture 3: Stay informed and one-step ahead of the rest

Lecture 4: Showcasing your expertise

Lecture 5: Continuous Learning

Lecture 6: Conclusion

Instructors

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Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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