Data QA Developer with BDD Salary in 2024
How statistics are calculated
We count how many offers each candidate received and for what salary. For example, if a Data QA developer with BDD 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.
Trending Data QA tech & tools in 2024
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 Behavior-driven development (BDD) used?
Turning Specs into Red Carpet Events
- Transforms dull spec sheets into thrilling user stories. A-list stars are now features needing TLC!
Testing Tango
- BDD makes developers and testers dance together by coordinating test case choreography upfront. It's a match made in tech heaven!
Customer Whispering
- Ever tried to decipher what the client REALLY wants? BDD is like an interpreter for client-developer charades.
Team Mind-Meld
- It's like Vulcan mind-meld for teams: fosters shared understanding by having everyone speak Examples instead of Klingon.
Behavior-driven development (BDD) Alternatives
Test-Driven Development (TDD)
Test-Driven Development is a software development process where tests are written before the code itself. Developers write a test for a new function, run it (it should fail initially), write the code to make the test pass, and then refactor the code.
// Sample TDD Test Case
@Test
public void shouldReturnSumWhenTwoNumbersAreAdded() {
Calculator calculator = new Calculator();
assertEquals(5, calculator.add(2, 3));
}
- Encourages cleaner, more maintainable code
- Reduces the likelihood of bugs
- Improves design and API thought process
- Initial learning curve can be steep
- Requires discipline to maintain test-suite
- Test creation can be challenging for complex scenarios
Acceptance Test-Driven Development (ATDD)
ATDD involves team members with different perspectives (customer, development, testing) collaborating to write acceptance tests before coding. The focus here is on fulfilling all stakeholder expectations and requirements.
// Example Acceptance Test
Scenario: Account Holder withdraws cash
Given the account balance is $100
When the Account Holder requests $20
Then the ATM should dispense $20
And the account balance should be $80
- Fosters better collaboration across roles
- Focuses on user needs and requirements
- Can result in less rework
- May involve significant effort in aligning different perspectives
- Can be slow to get started as consensus is needed
- Acceptance criteria can become outdated quickly
Feature-Driven Development (FDD)
FDD is an agile framework that focuses on features. It emphasizes iterative and incremental development cycles, requiring domain models for feature lists and planning by feature.
// FDD Process Example
- Develop overall model
- Build feature list
- Plan by feature
- Design by feature
- Build by feature
- Promotes delivering tangible, working software repeatedly
- Helps track progress and results easily
- High-level view beneficial for clients and stakeholders
- Requires substantial up-front design and modeling
- Less known and used than other agile methodologies
- Potentially less adaptable to changes mid-project
Quick Facts about Behavior-driven development (BDD)
The Epic Tale of BDD's Birth
Picture it: the mid-2000s, a land brimming with clunky code and misunderstood requirements. Enter stage left: Dan North, a software wizard, who, in 2003, conjured up Behavior-driven development. Marrying the depths of Test-Driven Development with the heights of domain-driven design, he sought to end the developers' plight of miscommunication, making them chant, "Specs before code!"
A Cucumber Saga
Beneath the BDD kingdom, in 2008, lurked a beast named Cucumber, not your garden-variety veggie, but a tool that devoured "Gherkin" language for breakfast. It allowed mere mortals to pen down features as if they were telling a bedtime story, which Cucumber then magically turned into test scripts. This feature-frenzy sparked a revolution in how humans and code interacted in their quests for bug-free software.
The SpecFlow Chronicles
As the tale weaves on, lo and behold, the gallant SpecFlow galloped into the .NET realms in 2009. With its armor made of binding business-readable prose to living code, it declared, "I shall translate thine human wishes into tests!" A knightly addition to the BDD roundtable, ensuring no C#-coded citadel is ever misunderstood by its business seers again.
Given I am a gallant developer
When I write my tests in Gherkin
Then may my code be bug-free and clear as day!
What is the difference between Junior, Middle, Senior and Expert Behavior-driven development (BDD) developer?
| Seniority Name | Years of Experience | Average Salary (USD/year) | Responsibilities & Activities | Quality-wise |
|---|---|---|---|---|
| Junior | 0-2 | 40,000 - 70,000 |
| Requires guidance to ensure adherence to best practices |
| Middle | 2-5 | 70,000 - 100,000 |
| Understands and applies BDD techniques effectively, with some oversight |
| Senior | 5-8 | 100,000 - 130,000 |
| Consistently produces high-quality work, drives best practices with little supervision |
| Expert/Team Lead | 8+ | 130,000 - 160,000+ |
| Exemplary quality of work; recognized for innovation and leadership in BDD |
Top 10 Behavior-driven development (BDD) Related Tech
Gherkin Language
Imagine you're writing a screenplay but for software - that's Gherkin for you! It's less about Hollywood drama and more about clear, human-readable descriptions for software behavior. Speak the language of "Given-When-Then" to outline scenarios for your app's functionality like you're storytelling to a toddler.
Cucumber
Ever thought veggies would help your code? Meet Cucumber, the tool that harnesses the power of Gherkin! It's like your personal BDD sous-chef, turning scenarios into automated tests across multiple languages. Cucumber dices through the jargon, ensuring everyone's on the same salad page.
Feature: Is it Friday yet?
Everybody wants to know when it's Friday
Scenario: Sunday isn't Friday
Given today is Sunday
When I ask whether it's Friday yet
Then I should be told "Nope"
SpecFlow
For the .NET knights in shining armor, SpecFlow is the round table of BDD. It takes the "Given-When-Then" prose and turns it into a noble quest for clear-cut testing. Your software tales are told in a language that's a mix of Shakespeare and binary.
JUnit
Ah, JUnit, the granddaddy of testing in the Java realm. It might not be exclusively for BDD, but it plays nice with others like Cucumber. Consider it the strong silent type that gets testing jobs done with a stoic charm.
Behat
PHP developers, do you ever wish for storytime with your tests? Behat is your genie in a bottle, rubbing out complex testing lingo and granting your BDD wishes with scenarios that can double as bedtime stories for your kids.
Jasmine
If JavaScript were to go on a date, it would pick Jasmine, the BDD framework that spices things up. It's fun, flirty, and makes writing tests a bit like penning a love letter to your code.
Mocha
When JavaScript wants to get serious after flirting with Jasmine, it calls Mocha. It's like the older, wiser sibling that brings chai (the assertion library, not the tea) to the BDD party for a full-blown flavorful testing experience.
Robot Framework
All hail the polyglot of BDD frameworks, the Robot Framework! It's not picky with languages and helps you cook up acceptance tests with a recipe that's as versatile as your grandma's secret cookbook.
Karma
Not the cosmic kind, but the tool that ensures your JavaScript acts as it should across browsers. It's like a digital karma meter, testing your code's behavior in real-time and making sure it's accumulating good coding karma all the way.
TestRail
Last but not least, TestRail doesn't directly engage in the action; rather, it watches from the sidelines, organizing your BDD scenarios as a test case management tool. Think of it like the stage manager of a theatre where your BDD scripts are the stars of the show.