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Data QA Developer with Cucumber Salary in 2024

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Total:
36
Median Salary Expectations:
$4,752
Proposals:
1

How statistics are calculated

We count how many offers each candidate received and for what salary. For example, if a Data QA developer with Cucumber with a salary of $4,500 received 10 offers, then we would count him 10 times. If there were no offers, then he would not get into the statistics either.

The graph column is the total number of offers. This is not the number of vacancies, but an indicator of the level of demand. The more offers there are, the more companies try to hire such a specialist. 5k+ includes candidates with salaries >= $5,000 and < $5,500.

Median Salary Expectation – the weighted average of the market offer in the selected specialization, that is, the most frequent job offers for the selected specialization received by candidates. We do not count accepted or rejected offers.

Data QA

What is Data Quality

A data quality analyst maintains an organisation’s data so that they can have confidence in the accuracy, completeness, consistency, trustworthiness, and availability of their data. DQA teams are in charge of conducting audits, defining the data quality standards, spotting outliers, and fixing the flaws, and play a key role at all stages in the data lifecycle. Without DQA work, strategic plans will fail, operations will go awry, customers will leave, and organisations will face substantial financial losses, as well as a lack of customer trust and potential legal repercussions due to poor-quality data.

This is a job that has changed as much as the hidden infrastructure that transforms data into insight and then powers the apps that we all use. I mean, it’s changed a lot.

Data Correctness/Validation

This is the largest stream of all the tasks. When we talk about data correctness, we should be asking: what does correctness mean to you, for this dataset? Because it would be different for every dataset and every organisation. The commonsense interpretation is that it must be what your end user (or business) wants from the dataset. Or what would be an expected result of the dataset.

We can obtain this just by asking questions, or else reading through the list of requirements. Here are some of the tests we might run, in this stream:

Finding Duplicates — nobody wants this in their data.

– Your data contains unique/distinct values in that column/field. Will the returned value be a unique/distinct value in that column/field?

– Any value that can be found in your data is returned.

Data with KPIs – If data has any columns we can sum, min or max on it’s called a key performance indicator. So basically any models which are mostly numeric/int column. eg: Budget, Revenue, Sales etc. If there is data comparison between two datasets then below tests applies:

– Comparing counts between two datasets — get the difference in count

– Compare the unique/distinct values and counts for columns – find out which values are not present in either of the datasets.

– Compare the KPIs between two datasets and get the percentage difference between them.

– Replace missing values – missing in any one of the datasets with primary or composite primary key. This can be done in a data source that does not have primary key too.

– Perform the metrics by segment for the individual column value — that can help you determine what might be going wrong if the count of values in the Zoopla-side doesn’t match the count on the Rightmove-side or if some of the values are missing. 

Data Freshness

This is an easy set. How do we know if the data is fresh?

An obvious indication here is to check if your dataset has a date column, in which case, you just check the max date. Another one is, when the data was pulled into a particular table, all of this can be converted into a very simple automated checks, which we might talk about in a later blog entry. 

Data Completeness

This could be an intermediate step in addition to data correctness, but how do we know to get there if the space of answers is complete?

To do this test, check if any column has all values null in it ­ perhaps that’s okay, but most of the time it’s bad news.

Another test would be one-valuedness: whether everywhere on the column all values are the same, probably in some cases that would be a fine result, but probably in other cases that would be something we’d rather look into.

What are Data Quality Tools and How are They Used?

Data quality tools are used to improve, or sometimes automate, many processes required to ensure that data stays fit for analytics, data science, and machine learning. For example, such tools enable teams to evaluate their existing data pipelines, identify bottlenecks in quality, and even automate many remediation steps. Examples of activities relating to guaranteeing data quality include data profiling, data lineage, and data cleansing. Data cleansing, data profiling, measurement, and visualization tools can be used by teams to ‘understand the shape and values of the data assets that have been acquired – and how they are being collected’. These tools will call outliers and mixed formats. In the data analytics pipeline, data profiling acts as a quality control gate. And each of these are data management chores.

Where is Cucumber used?


Behaving like a Veggie: BDD in Action



  • Cucumber flexes its greens by keeping devs and non-techies in harmony, translating tech jabberwocky into real-world scenarios via BDD!



Epic Feature Film Director



  • Our leafy friend takes the director's seat, orchestrating test scripts that dress up as user stories. Lights, camera, action - ensure features behave!



Mix 'n Match: Integration Disco



  • It throws a wild party where systems shake their interfaces, twirling through integration tests to a beat that screams compatibility!



Automation Idol



  • Grab your popcorn as Cucumber belts out automated test hits, auditioned by scenarios, leaving regression bugs cowering in the corner!

Cucumber Alternatives


SpecFlow


It's a .NET framework for Behavior-Driven Development (BDD), integrating with Visual Studio. Like Cucumber, it parses Gherkin-language files into executable code but is C# focused.



# Example SpecFlow scenario
Feature: Login functionality
Scenario: User logs in with valid credentials
Given the login page is open
When the user enters valid credentials
Then the account dashboard should be displayed


  • Integrated with .NET development environment

  • Natural fit for teams already using Microsoft stack

  • Strong community and tooling support within Visual Studio

  • Less cross-platform than Cucumber

  • May have a steeper learning curve for non-.NET developers

  • Windows-centric, though .NET Core extends usability



Behave


Pythonic BDD framework. Utilizes Gherkin language for writing tests, similar to Cucumber, but integrates tightly with Python developments.



# Example Behave feature
Feature: Showing account balance
Scenario: Account has sufficient funds
Given the account balance is $100
When the user checks their balance
Then the balance should be $100


  • Natural integration with Python codebases

  • Enables writing tests in Pythonic idioms

  • Good for Django or Flask based web apps

  • Lacks the language support breadth of Cucumber

  • Community smaller than Cucumber's

  • Tooling and integrations not as extensive



JUnit


A foundation for testing frameworks in Java, JUnit enables developers to write repeatable tests. It does not support BDD out-of-the-box but can be used in conjunction with BDD tools.



// Example JUnit test
import static org.junit.Assert.*;
import org.junit.Test;

public class SimpleTest {
@Test
public void testAddition() {
assertEquals(2, 1 + 1);
}
}


  • Very mature and stable

  • Extensive tooling and integration in Java ecosystem

  • Supports a broad range of testing types

  • Not inherently a BDD framework

  • Requires additional libraries for BDD-style tests

  • Verbosely written tests compared to Gherkin

Quick Facts about Cucumber


The Birth of Cucumber: Tackling Communication Gaps with Gherkin!


Imagine tech wizards sprinkling fairy dust to bridge the chasm between code gremlins and suit-clad business moguls. That's what Aslak Hellesøy did in 2008 by creating Cucumber. This tool turned tech babble into business lingo with its Gherkin language - a set of words so simple even your grandma could write test cases. Abracadabra! No more lost-in-translation fiascos.



Cucumber Versions: A Time-Traveling Veggie?


With more versions than a compulsive liar’s story, Cucumber has been shape-shifting since its inception. From its humble beginnings in Ruby, this veggie hopped onto Java, JavaScript, and .NET gardens. Every new release peppers in nifty features, ensuring it never goes out of season among the agile crop.



The Revolutionary Snap: Cucumber Studios!


Picture a superhero movie moment. The year is 2011: Cucumber Studios makes an entrance, dramatically tossing a cape over the shoulders of befuddled testers and developers. This visual aid toolkit not only squashed bugs but did a little victory dance afterwards, revolutionizing the way folks visualized their scenarios. Bam! Who said cucumbers couldn't be cool?




Feature: Guess the word
Scenario: Maker starts a game
When the Maker starts a game
Then the Maker waits for a Breaker to join

What is the difference between Junior, Middle, Senior and Expert Cucumber developer?


































Seniority NameYears of ExperienceAverage Salary (USD/year)Responsibilities & Activities
Junior0-250,000 - 70,000

  • Assist in the design and implementation of test automation using Cucumber.

  • Write simple feature files and step definitions.

  • Learn from senior developers and follow best practices.

  • Contribute to team meetings and report to Senior Developers or the Team Lead.


Middle2-570,000 - 95,000

  • Independently create and maintain Cucumber test suites.

  • Improve existing test automation frameworks.

  • Identify and document system defects and inconsistencies.

  • Collaborate with cross-functional teams to ensure quality.


Senior5-1095,000 - 120,000

  • Design and develop sophisticated Cucumber test automation strategies.

  • Lead and mentor junior and middle developers in best practices.

  • Manage test data and integrate test suites with CI/CD pipelines.

  • Analyze complex systems and create detailed test plans.


Expert/Team Lead10+120,000+

  • Architect and oversee entire Cucumber test automation frameworks and infrastructures.

  • Drive the adoption of best practices in testing and maintain high-quality standards.

  • Act as the point of contact for project stakeholders regarding testing strategies.

  • Lead, manage, and expand the testing team.



Top 10 Cucumber Related Tech



  1. Gherkin Language


    Imagine a world where writing documentation for software is as fun as weaving a bedtime story. Welcome to Gherkin, the lingua franca of Cucumber. It's a domain-specific language that looks like you scribbled it on a napkin during a coffee break. Gherkin is all about legibility—synonymous with "my grandma could write these specs." Its main components are Feature, Scenario, Given, When, Then, And, But – each one crafting an ever-so-enticing tale of software behavior.



    Feature: Serve coffee
    Scenario: Buy last coffee
    Given there are 1 coffees left in the machine
    When I deposit 1 dollar
    And I press the coffee button
    Then I should be served a coffee



  2. JVM Languages (Java, Kotlin, Scala)


    Think of the JVM as the grand stage and Java, Kotlin, and Scala as the prima ballerinas, each bringing their own flavor of dance to choreograph your Cucumber steps. Whether it’s the tried-and-true robust Java, the sleek Kotlin cutting through boilerplate like it's butter, or Scala, twirling with functional programming finesse – they're all ready to pirouette through your Cucumber scenario steps.



    // Java
    @Given("there are {int} coffees left in the machine")
    public void there_are_coffees_left_in_the_machine(Integer count) {
    // Code to check coffee machine state
    }

    // Kotlin
    @Given("there are {int} coffees left in the machine")
    fun thereAreCoffeesLeftInTheMachine(count: Int) {
    // Kotlin code to check coffee machine state
    }



  3. JUnit


    Consider JUnit the strict ballet instructor for your software dance routines, ensuring each step is executed with absolute precision. It's the favored testing framework that Cucumber integrates with for validating Java code. Without it, your test suite is like an unchoreographed flash mob; with it, it's like the Bolshoi Ballet – graceful, coordinated, and error-free.



    @RunWith(Cucumber.class)
    @CucumberOptions(features = "classpath:features")
    public class RunCucumberTest {
    // The bridge between Cucumber and JUnit
    }



  4. Selenium WebDriver


    Let's get 'wheely' serious — Selenium WebDriver is the stunt driver for your automated web tests. Picture your Gherkin scenarios as high-octane chase scenes that WebDriver translates into thrilling browser maneuvers. Fasten your seatbelts; we're automating UI testing, turning clicks, and keystrokes into cinematic gold.



    @When("I press the coffee button")
    public void iPressTheCoffeeButton() {
    driver.findElement(By.id("coffee-button")).click();
    }



  5. TestNG


    Not to be upstaged, TestNG enters the testing tango with its own set of spicy steps. Versatile and configurable, TestNG will sweep you off your feet, especially if you're into parallel dancing...erm, testing. It waltzes with Cucumber as effortlessly as a seasoned dancer, providing annotations that make test scripts sing.



    @Test
    @CucumberOptions(features = "classpath:features")
    public class RunCucumberTest {
    // TestNG shaking hands with Cucumber
    }



  6. Maven/Gradle


    These build tools are the backstage crew that no show can do without. Maven, the seasoned stage manager, ensures all scripts, props, and actors (dependencies) are in place. Gradle, with its DSL flair, is the hip new technician who gets the job done with a dash of Groovy. Both make building, testing, and deploying as smooth as a Broadway hit’s opening night.





    io.cucumber
    cucumber-java
    X.X.X


    // Gradle
    dependencies {
    testImplementation 'io.cucumber:cucumber-java:X.X.X'
    }



  7. Appium


    Did someone say "mobile testing escapade"? Buckle up with Appium, the wheelman specializing in mobile applications, treating iOS and Android platforms as playgrounds. An extension of the Selenium Webdriver family, Appium ensures your Cucumber scripts don't suffer from device discrimination and flirt seamlessly across different platforms.



    @When("I tap the coffee button")
    public void iTapTheCoffeeButton() {
    WebElement coffeeButton = driver.findElement(By.id("coffee_button"));
    coffeeButton.click();
    }



  8. REST-assured


    When API testing is your jam, REST-assured steps up as your headliner DJ, mixing Gherkin beats with HTTP requests. It turns testing RESTful services into a dance-off that even the least technical crowd member could follow. Want to check if the coffee machine’s REST endpoint is brewing correctly? REST-assured has your back.



    @When("I send a GET request to the coffee machine status")
    public void iSendAGETRequestToTheCoffeeMachineStatus() {
    RestAssured.get("/coffee-machine/status").then().statusCode(200);
    }



  9. Spring Framework


    Invite Spring to the party, and it brings along its entire entourage of IoC, AOP, and MVC to keep the software soirée hoppin’. In the Cucumber courtyard, Spring works its magic with dependency injection, allowing your step definitions to be as decoupled as strangers at a masquerade ball – but working together in mysterious harmony.



    @Autowired
    private CoffeeMachine coffeeMachine;

    @Given("the coffee machine is initialized")
    public void theCoffeeMachineIsInitialized() {
    assertNotNull(coffeeMachine);
    }



  10. Cucumber Reports


    Last but certainly not the paparazzi of the tech show, Cucumber Reports snap pictures of your test executions like they’re red carpet moments. With illustrious charts, breakdowns, and insights, you'll have documentation glitzier than a celebrity Instagram feed. Who says test reporting can’t have a bit of bling?



    @CucumberOptions(
    plugin = {"pretty", "html:target/cucumber-reports"},
    features = "classpath:features",
    // More options...
    )
    public class RunCucumberTest {
    // Where the reports are made fancy
    }


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