Cloud Roster™

The Job Roles Matrix From Cloud Academy

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Trending Technology Skills for Data Engineers

Last Updated December 10, 2018

# Skill Demand Rank Change
1 Python
-
2 SQL
-
3 Spark
-
4 Hadoop
1
5 Java
1
6 AWS
-
7 Scala
-
8 Kafka
-
9 RedShift
-
10 Linux
-
11 R
-
12 Oracle
-
13 Azure
-
14 Cassandra
-
15 MapReduce
1
16 Apache
1
17 HBase
2
18 MySQL
1
19 S3
1
20 C++
1

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What Does a Data Engineer Do?

Data Engineers are responsible for building data pipelines. They develop, construct, and test the large databases and the scalable data processing systems that data scientists need to do their jobs.

Key Traits of a Data Engineer

Critical Thinker

Data Engineers connect the dots and see the big picture to evaluate how data insights affect the business

Collaborative

Ability to collaborate with both internal technology and business teams as well as integration partners and customers

Curious

Data Engineers demonstrate a track record of learning and deep-diving into complex systems

Day-to-Day Expectations and Responsibilities

Design, develop, and deploy scalable data pipelines and data services

Promote best practices that enable teams to accelerate their consumption and understanding of data

Integrate new data management technologies and software engineering tools into existing infrastructure

Improve overall efficiency by introducing new engineering processes and tools

Research opportunities for data acquisition and new uses for existing data

Understand existing systems and recommend ways to marry disparate data sets using automation

Collaborate with data scientists and researchers to develop algorithms including prototypes, predictive models, and proofs of concept

Data Engineer Target Skill Set

Technical Skill Set:
  • Statistical analysis and modeling
  • Database architectures
  • Python, Java
  • Big data processing & streaming analytics
  • Experience with machine learning algorithms
Non-Technical Skill Set:
  • Data-driven approach to problem solving
  • The ability to visualize and communicate complex concepts
  • Strong sense of ownership
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Starter Training Plan for Data Engineers

The following Cloud Academy starter Training Plans prepare professionals to become Data Engineers

  • Amazon Web Services

    Data Engineer
    Starter Training Plan

    14 weeks

  • Microsoft Azure

    Data Engineer
    Starter Training Plan

    3 weeks

  • Google Cloud Platform

    Data Engineer
    Starter Training Plan

    6 weeks

Industry Certifications for Data Engineers

The following industry certifications are popular among Data Engineers:

  • Amazon Web Services

  • Microsoft Azure

  • Google Cloud Platform

Certified Big Data - Specialty

The AWS Certified Big Data - Specialty exam validates technical skills and experience in designing and implementing AWS services to derive value from data. (Source: AWS)

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70-776 Exam: Engineering Data with Microsoft Cloud Service

This certification exam is intended for candidates who design analytics solutions and build operationalized solutions on Azure. (Source: Azure)

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Google Certified Professional Data Engineer

A Professional Data Engineer enables data-driven decision making by collecting, transforming, and visualizing data... This exam objectively measures an individual’s ability to demonstrate the critical job skills for the role. (Source: Google)

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