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Navigating your first 90 days in data engineering

person icon Ruvi Raghavan

4.4

Navigating your first 90 days in data engineering

A comprehensive guide to ensure you clear your probation and set yourself up for success.

updated on icon Updated on Jun, 2025

language icon Language - English

person icon Ruvi Raghavan

category icon Development ,Database and Design Development,

Lectures -53

Resources -16

Duration -1.5 hours

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4.4

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Course Description

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!"

Goals

  • 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

Prerequisites

This course is for you if you are a:

  • New Data Hire: Data engineers who have recently started a new job and want to ensure a strong start in their new position.
  • Recent Graduate: Students about to graduate and enter the workforce, looking to prepare for their first data role.
  • Recent Hiring Manager/HR Professional: People managers aiming to support new data engineers through their onboarding process.
Navigating your first 90 days in data engineering

Curriculum

Check out the detailed breakdown of what’s inside the course

Course Overview

6 Lectures
  • play icon Introduction 00:54 00:54
  • play icon What I gained by following the principles laid out? 01:42 01:42
  • play icon What do you get out of this course? 00:44 00:44
  • play icon What is it about? 00:50 00:50
  • play icon What you won't get out of this course 00:32 00:32
  • play icon How does it work? 01:38 01:38

Prepare for Day 1 ahead of time

4 Lectures
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Learn about the company policies and procedures

10 Lectures
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Read relevant code and documentation

7 Lectures
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Understand what the company does inside out

3 Lectures
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Orient to the organization's mission and culture

3 Lectures
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Tinker enough to learn by doing and break nothing

5 Lectures
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Take control and deliver your first end-to-end task

4 Lectures
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Operate independently and own your tasks

5 Lectures
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Network

6 Lectures
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Instructor Details

Ruvi Raghavan

Ruvi Raghavan

Ruvi Raghavan is a seasoned Data Engineering & Analytics professional with over a decade of experience, specializing in developing award-winning data products and establishing enterprise-level data infrastructure. He started his career in business analytics at IBM and has held various roles in data including engineering, business intelligence, and web analytics. With expertise in greenfield projects, he is known in his circles for ‘putting business first’. Ruvi’s extensive background in data engineering, analytics, and leadership positions led him to create "Build in Data" to train the next generation of data leaders.

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