Career Spotlight: Data Engineer (VIDEO)

Written by Coursera Staff • Updated on

Ever wondered who builds the pipelines that power data-driven companies? That's the Data Engineer!

[Video thumbnail] Data engineering is easy

This Career Spotlight explores the exciting world of data engineering:

  • What Data Engineers ACTUALLY Do: Discover how they design, build, and maintain the systems that collect, store, and process massive amounts of data.

  • Key Responsibilities: From building data pipelines to ensuring data quality and security, we'll cover the crucial roles data engineers play.

  • Is Data Engineering Right for YOU? Find out if you have the technical skills and passion for data to excel in this high-demand field.

Ready to dive into the world of big data and become a data engineering master? Check out these courses to start your journey! 👇

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professional certificate

DeepLearning.AI Data Engineering

Learn the principles of effective data engineering. Build your skills in the high-demand field of data engineering and learn how you can deliver real business value by applying a core set of principles and strategies for developing data systems.

4.8

(409 ratings)

17,918 already enrolled

Intermediate level

Average time: 3 month(s)

Learn at your own pace

Skills you'll build:

Data Management, Data Modeling, Data Warehousing, Data Orchestration, Data transformation, Data Architecture, Data Management Platforms, Data Engineering, DataOps, Translating requirements into tool and technology choices, The principles of good data architecture, AWS cloud fundamentals, Thinking like a data engineer, Requirements Gathering, Feature Engineering, Spark and PySpark, Data Transformation, Batch and Streaming Ingestion, Infrastructure as Code (IaC), Networking on the Cloud, Data orchestration, Advanced SQL, Data storage fundamentals, Streaming queries with Apache Flink, Data warehouse / data lake / data lakehouse architectures

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professional certificate

Meta Database Engineer

Launch your career as a Database Engineer. Build job-ready skills for an in-demand career and earn a credential from Meta. No degree or experience required to get started.

4.6

(2,146 ratings)

66,924 already enrolled

Beginner level

Average time: 6 month(s)

Learn at your own pace

Skills you'll build:

SQL and Python syntax, Algorithms, Databases, database management, Software Testing, Programming Principles, MySQL, Tabular records, Big Data, Statistical Programming, database administration, Python Programming, SQL, Database (DB) Design, Database (DBMS), Django (Web Framework), Data Management, Data Model, Data Warehousing, Extraction, Transformation And Loading (ETL), Project Management, Application development, Computer Programming, Cloud Hosting, Application Programming Interfaces (API), Relational Database, Computer Science, Pseudocode, Data Structure, Communication, Github, Version Control, Linux, Web Development, Bash (Unix Shell)

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