Data Engineering Trainee

Data Engineer with Python Traineeship is a self paced 4 week Industrial Training program with mentorship support.

Program Description

In this Traineeship you’ll discover how to build an effective data architecture, streamline data processing, and maintain large-scale data systems. In addition to working with Python, you’ll also grow your language skills as you work with Shell, SQL, and Scala, to create data engineering pipelines, automate common file system tasks, and build a high-performance database.

Through hands-on exercises, you’ll add cloud and big data tools such as AWS Boto, PySpark, Spark SQL, and MongoDB, to your data engineering toolkit to help you create and query databases, wrangle data, and configure schedules to run your pipelines. By the end of this Internship/Training, you’ll have mastered the critical database, scripting, and process skills you need to progress your career.

What we cover in 4 weeks.

Week 1 – 3

Data Engineering for Everyone

Introduction to Data Engineering

Streamlined Data Ingestion with PANDAS

Writing Efficient Python Code

Writing Functions in Python

Introduction to Shell

Data Processing in Shell

Introduction to Bash Scripting

Unit Testing for Data Science in Python

Object-Oriented Programming in Python

Introduction to Airflow in Python

Introduction to PySpark

Introduction to AWS Boto in Python

Introduction to Relational Databases in SQL

Database Design

Introduction to Scala

Big Data Fundamentals with PySpark

Cleaning Data with PySpark

Introduction to MongoDB in Python

Week 4

Capstone Project

Program Benefits

Certificate of Completion

Letter of Recommendation

Complete this course while you work

Rigorous curriculum designed by industry experts

Best performers will also be offered a job within the company.

Why get Certified?

Prove your skills are job-ready with a certification in data science

Job Category: Data Science
Job Type: Traineeship
Job Location: Remote

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