One platform: students, companies, universities
Select target country
Data and AI

Data Engineer

If you like building the pipelines and platforms behind the data, not just the reports, this role is for you.

A data engineer builds the systems that move, clean and store data at scale: pipelines from source systems to a warehouse, transformations in SQL and Python, and the platforms on which analysts and data scientists work. It is the backbone of every data team.

Essential skills
Advanced SQLPythonSparkCloud data platforms (BigQuery, Snowflake, Redshift)Airflow or similar orchestrationData modellingData quality and testing
man in blue dress shirt using computer
Indicative pay₹5 to 9 lakh a year at entry1 role with partners
Photo: Firosnv. Photography on Unsplash
Indicative pay₹5 to 9 lakh a year at entry
Working languageEnglish
Entry qualificationAny graduate
Key certificationAWS Solutions Architect Associate
Course length12 weeks

How to get there

  1. 1Learn the skills

    The Data Engineering Foundations course: theory from university faculty, practical from industry.

  2. 2Earn the certification

    Exam preparation for AWS Solutions Architect Associate is built into the course.

  3. 3Complete the industry project

    A brief set by a partner company and reviewed by its own team becomes the first line of your portfolio.

  4. 4Apply to partner roles

    With your Walnutcraft certificate, apply to the roles partner employers share for this career.

Career progression and pay

0 to 2 yearsJunior data engineer

Pipelines and transformations under a senior engineer.

2 to 5 yearsData engineer

Owns a data domain's pipelines and models.

5+ yearsSenior data engineer or data platform lead

Platform architecture and team leadership.

Next movesNext moves

Analytics engineer, ML engineer, data architect.

The career

A data engineer builds the systems that move, clean and store data at scale: pipelines from source systems to a warehouse, transformations in SQL and Python, and the platforms on which analysts and data scientists work. It is the backbone of every data team.

Most data engineers start as analysts or developers; the Walnutcraft course is designed for that step, and for engineering graduates with strong SQL and Python.

What you will do

  • Build and schedule data pipelines
  • Model data in a warehouse or lakehouse
  • Process large data with Spark
  • Monitor data quality and pipeline health
  • Work with analysts and scientists on their data needs

Where the work is

Product and SaaS companiesBanks and fintechE-commerceIT servicesTelecom

Industries

Product and SaaS companiesBanks and fintechE-commerceIT servicesTelecom

Same career, other countries

Start towards data engineer

Talk to a counsellor about your qualification and timeline, or go straight to the course.