Data Pipeline Engineer Tests

Roles

Data Pipeline Engineer

Tests

Overview

Tests

Start Using These Tests to Assess Your Data Pipeline Engineers

Intern Data Pipeline Engineer Screening Assessment

A screening assessment to assess the hard skills required for the role of Intern Data Pipeline Engineer.

Data Management

SQL

Python

Java

Problem Solving

Analytical Reasoning

Data Pipelines

45 mins

20 Questions

Standard

Intern Data Pipeline Engineer In-depth Assessment

A comprehensive assessment to evaluate the technical skills and abilities of potential Intern Data Pipeline Engineers.

Data Management

SQL

Python

Java

Data Literacy

Problem Solving

Analytical Reasoning

Collaboration

Data Pipelines

2 hours, 15 mins

45 Questions

Standard

Graduate Data Pipeline Engineer Screening Assessment

A screening assessment to evaluate the hard skills of potential Graduate Data Pipeline Engineers.

Data Management

SQL

Python

Data Pipelines

Data Quality Assurance

Problem Solving

Analytical Reasoning

30 mins

20 Questions

Standard

Graduate Data Pipeline Engineer In-depth Assessment

An in-depth assessment to evaluate the technical skills, problem-solving abilities, and soft skills of potential Graduate Data Pipeline Engineers.

Data Management

SQL

Python

Data Pipelines

Data Quality Assurance

Problem Solving

Analytical Reasoning

Attention to Detail

Collaboration

2 hours, 30 mins

45 Questions

Standard

Junior Data Pipeline Engineer Screening Assessment

A screening assessment to evaluate the technical skills of potential Junior Data Pipeline Engineer hires.

SQL

Python

Data Management

Relational Databases

NoSQL

ETL

Data Warehousing

Data Pipelines

Cloud Computing

Big Data

Data Quality Assurance

Amazon Web Services

GCP

30 mins

20 Questions

Standard

Junior Data Pipeline Engineer In-depth Assessment

A comprehensive assessment to evaluate the technical and soft skills of potential Junior Data Pipeline Engineer hires.

SQL

Python

Data Management

Relational Databases

NoSQL

ETL

Data Warehousing

Data Pipelines

Cloud Computing

Big Data

Data Quality Assurance

Amazon Web Services

GCP

Collaboration

2 hours, 30 mins

45 Questions

Standard

Data Pipeline Engineer (Mid-Level) Screening Assessment

An initial screening to test the technical skills of potential Mid-Level Data Pipeline Engineer hires.

Data Management

SQL

Python

Java

Scala

Apache Spark

Hadoop

ETL

Data Governance

Data Security

Data Modeling

Cloud Computing

Amazon Web Services

GCP

DevOps

Problem Solving

Attention to Detail

Programming Concepts

NoSQL

45 mins

30 Questions

Advanced

Data Pipeline Engineer (Mid-Level) In-depth Assessment

A comprehensive assessment to evaluate the technical and soft skills of mid-level Data Pipeline Engineer candidates.

Data Management

SQL

Python

Java

Scala

Apache Spark

Hadoop

ETL

Data Governance

Data Security

Data Modeling

Cloud Computing

Amazon Web Services

GCP

DevOps

Problem Solving

Attention to Detail

Collaboration

Programming Concepts

NoSQL

2 hours, 30 mins

50 Questions

Advanced

Senior Data Pipeline Engineer Screening Assessment

An initial screening to test the technical skills of potential Senior Data Pipeline Engineer hires.

SQL

Data Warehousing

Data Pipelines

Cloud Computing

ETL

Data Integration

Data Security

Data Governance

Python

Java

Apache Spark

Hadoop

Amazon Web Services

GCP

45 mins

20 Questions

Advanced

Senior Data Pipeline Engineer In-depth Assessment

An in-depth assessment to thoroughly evaluate the technical skills, problem-solving abilities, and soft skills of potential Senior Data Pipeline Engineer hires.

SQL

Data Warehousing

Data Pipelines

Cloud Computing

ETL

Data Integration

Data Security

Data Governance

Python

Java

Apache Spark

Hadoop

Amazon Web Services

GCP

Problem Solving

Collaboration

Verbal Communication

Written Communication

2 hours, 15 mins

45 Questions

Expert

Lead Data Pipeline Engineer Screening Assessment

An initial screening to test the technical skills of potential Lead Data Pipeline Engineer hires.

Data Pipelines

Python

Java

SQL

Data Warehousing

ETL

Big Data

Hadoop

Apache Spark

Cloud Computing

Amazon Web Services

GCP

Data Security

45 mins

25 Questions

Advanced

Lead Data Pipeline Engineer In-depth Assessment

A comprehensive assessment to evaluate the technical skills, problem-solving abilities, and soft skills of potential Lead Data Pipeline Engineer hires.

Data Pipelines

Python

Java

SQL

Data Warehousing

ETL

Big Data

Hadoop

Apache Spark

Cloud Computing

Amazon Web Services

GCP

Data Security

Leadership

Problem Solving

Verbal Communication

Written Communication

2 hours, 30 mins

45 Questions

Expert

Over 50,000 Candidates Can't Be Wrong

The website itself was amazing, and I liked it more than any LinkedIn or other assessment I took before. It shows how seriously you are taking this and made me enter the test mode without being stressed.

Majed

Marketing analyst candidate at Asian travel giant

I attended many online assessments which are kinda complicated where the questions makes no sense considering the job code but these questions makes sense and I can sense what kinda role that I should be doing if I'm selected. The questions are crisp and easy to understand.

Karthick

Senior marketing analytics manager for SE Asian enterprise

This was a great platform to give the exam and was pretty easy to use for me, even as a newbie to this platform.

Udaya

Senior data science candidate for consumer good multinational

I like the way the Test is presented to me. Enough time is given to prepare for the Test. Also the questions are very clearly presented with enough time limit to answer it.

Mohammed

Analytics candidate at Asia Pacific enterprise

Our Customers Say

I was at WooliesX (Woolworths) and we used Alooba and it was a highly positive experience. We had a large number of candidates. At WooliesX, previously we were quite dependent on the designed test from the team leads. That was quite a manual process. We realised it would take too much time from us. The time saving is great. Even spending 15 minutes per candidate with a manual test would be huge - hours per week, but with Alooba we just see the numbers immediately.

Shen Liu, Logickube (Principal at Logickube)

I wouldn't dream of hiring somebody in a technical role without doing that technical assessment because the number of times where I've had candidates either on paper on the CV, say, I'm a SQL expert or in an interview, saying, I'm brilliant at Excel, I'm brilliant at this. And you actually put them in front of a computer, say, do this task. And some people really struggle. So you have to have that technical assessment.

Mike Yates, The British Psychological Society (Head of Data & Analytics)

We get a high flow of applicants, which leads to potentially longer lead times, causing delays in the pipelines which can lead to missing out on good candidates. Alooba supports both speed and quality. The speed to return to candidates gives us a competitive advantage. Alooba provides a higher level of confidence in the people coming through the pipeline with less time spent interviewing unqualified candidates.

Scott Crowe, Canva (Lead Recruiter - Data)

How can you accurately assess somebody's technical skills, like the same way across the board, right? We had devised a Tableau-based assessment. So it wasn't like a past/fail. It was kind of like, hey, what do they send us? Did they understand the data or the values that they're showing accurate? Where we'd say, hey, here's the credentials to access the data set. And it just wasn't really a scalable way to assess technical - just administering it, all of it was manual, but the whole process sucked!

Cole Brickley, Avicado (Director Data Science & Business Intelligence)

I was at WooliesX (Woolworths) and we used Alooba and it was a highly positive experience. We had a large number of candidates. At WooliesX, previously we were quite dependent on the designed test from the team leads. That was quite a manual process. We realised it would take too much time from us. The time saving is great. Even spending 15 minutes per candidate with a manual test would be huge - hours per week, but with Alooba we just see the numbers immediately.

Shen Liu, Logickube (Principal at Logickube)

I wouldn't dream of hiring somebody in a technical role without doing that technical assessment because the number of times where I've had candidates either on paper on the CV, say, I'm a SQL expert or in an interview, saying, I'm brilliant at Excel, I'm brilliant at this. And you actually put them in front of a computer, say, do this task. And some people really struggle. So you have to have that technical assessment.

Mike Yates, The British Psychological Society (Head of Data & Analytics)

We get a high flow of applicants, which leads to potentially longer lead times, causing delays in the pipelines which can lead to missing out on good candidates. Alooba supports both speed and quality. The speed to return to candidates gives us a competitive advantage. Alooba provides a higher level of confidence in the people coming through the pipeline with less time spent interviewing unqualified candidates.

Scott Crowe, Canva (Lead Recruiter - Data)

How can you accurately assess somebody's technical skills, like the same way across the board, right? We had devised a Tableau-based assessment. So it wasn't like a past/fail. It was kind of like, hey, what do they send us? Did they understand the data or the values that they're showing accurate? Where we'd say, hey, here's the credentials to access the data set. And it just wasn't really a scalable way to assess technical - just administering it, all of it was manual, but the whole process sucked!

Cole Brickley, Avicado (Director Data Science & Business Intelligence)

Start Assessing Data Pipeline Engineers with Alooba