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Andrii

Andrii, Data QA Developer

Last Job: 24 Oct 2023
Identity Verified
Language Verified
Programming Skills Verified
CV Verified

- 7+ years of experience as a Data Engineer, Data QA, and Data Science challenges. - AWS Certified Data Analytics. - Experience creating and supporting of ELT data pipelines built on Snowflake and DBT - Warehousing models, and support existing processes/ETL’s (extract/transform/load), functions (in Python/SQL/DBT) in a cloud data warehouse environment using Snowflake, AWS services - Software developer with good communication and organizational skills. - Available ASAP.

Data QA

Data QA

Python

Python

AWS (Amazon Web Services)

AWS (Amazon Web Services)

Apache Kafka

Apache Kafka

Apache Airflow

Apache Airflow

Snowflake

Snowflake

5.0
Based on 9 reviews

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Manager
Maria Lapko
Global Partnership Manager

Only 3 Steps to Hire Data QA Developer

1
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Our journey starts with a 30-min discovery call to explore your project challenges, technical needs and team diversity.
2
Meet Carefully Matched Data QA Talents
Within 1-3 days, we’ll share profiles and connect you with the right Data QA talents for your project. Schedule a call to meet engineers in person.
3
Validate Your Choice
Bring new Data QA expert on board with a trial period to confirm you hire the right one. There are no termination fees or hidden costs.

Welcome on Upstaff: The best site to hire Data QA Developer

Yaroslav Kuntsevych
Upstaff.com was launched in 2019, addressing software service companies, startups and ISVs, increasingly varying and evolving needs for qualified software engineers

Yaroslav Kuntsevych

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5.0
Based on 9 reviews
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FAQs on Data QA Development

What is a Data QA Developer? Arrow

A Data QA Developer is a specialist in the Data QA framework/language, focusing on developing applications or systems that require expertise in this particular technology.

Why should I hire a Data QA Developer through Upstaff.com? Arrow

Hiring through Upstaff.com gives you access to a curated pool of pre-screened Data QA Developers, ensuring you find the right talent quickly and efficiently.

How do I know if a Data QA Developer is right for my project? Arrow

If your project involves developing applications or systems that rely heavily on Data QA, then hiring a Data QA Developer would be essential.

How does the hiring process work on Upstaff.com? Arrow

Post Your Job: Provide details about your project.
Review Candidates: Access profiles of qualified Data QA Developers.
Interview: Evaluate candidates through interviews.
Hire: Choose the best fit for your project.

What is the cost of hiring a Data QA Developer? Arrow

The cost depends on factors like experience and project scope, but Upstaff.com offers competitive rates and flexible pricing options.

Can I hire Data QA Developers on a part-time or project-based basis? Arrow

Yes, Upstaff.com allows you to hire Data QA Developers on both a part-time and project-based basis, depending on your needs.

What are the qualifications of Data QA Developers on Upstaff.com? Arrow

All developers undergo a strict vetting process to ensure they meet our high standards of expertise and professionalism.

How do I manage a Data QA Developer once hired? Arrow

Upstaff.com offers tools and resources to help you manage your developer effectively, including communication platforms and project tracking tools.

What support does Upstaff.com offer during the hiring process? Arrow

Upstaff.com provides ongoing support, including help with onboarding, and expert advice to ensure you make the right hire.

Can I replace a Data QA Developer if they are not meeting expectations? Arrow

Yes, Upstaff.com allows you to replace a developer if they are not meeting your expectations, ensuring you get the right fit for your project.

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Table of Contents

How and where is Data QA used?

How and where
  • Data Cleaning: Removing duplicate records
  • Data Validation: Ensuring data accuracy
  • Data Transformation: Converting data formats
  • Data Integration: Combining different data sources
  • Data Profiling: Analyzing data quality
  • Data Monitoring: Tracking data changes
  • Data Masking: Protecting sensitive information
  • Data Anonymization: Safeguarding privacy
  • Data Migration: Moving data to new systems
  • Data Archiving: Storing data for long-term retention

Compare Junior, Middle, Senior, and Expert/Team Lead Data QA Developer roles

Seniority NameYears of experienceResponsibilities and activitiesAverage salary (USD/year)
Junior0-2 yearsResponsibilities & Activities:

  • Code testing
  • Bug fixing
  • Documentation
$50,000
Middle2-5 yearsResponsibilities & Activities:

  • Test case creation
  • Test automation
  • Quality assurance
$70,000
Senior5-8 yearsResponsibilities & Activities:

  • Lead testing strategy
  • Mentor junior developers
  • Quality control
$90,000
Expert/Team Lead8+ yearsResponsibilities & Activities:

  • Define QA processes
  • Project management
  • Team leadership
$120,000

Quick Facts about Data QA.

Facts about
  • When Data QA Software Development was born: 53 chars
  • The top project types that utilize this tech: 62 chars
  • The minimum skill level required to get started: 64 chars
  • The most popular companion technology in this field: 58 chars
  • A fascinating trivia about Data QA Software Development: 83 chars

TOP Data QA Related Technologies

Related Technologies
  1. DataRobot (Jeremy, 2012)
  2. Tricentis Tosca (Sebastian, 2007)
  3. Selenium (Jason, 2004)
  4. TestComplete (Alex, 1999)
  5. Apache JMeter (Stefan, 1998)

What are top Data QA instruments and tools?

Instruments and tools
  • GreatExpectations: Automated data quality testing released by Superconductive in 2018
  • Informatica Data Quality: Comprehensive data quality tool by Informatica since 2002
  • Talend Data Quality: Open-source data quality tool by Talend released in 2006

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Talk to Our Talent Expert

Our journey starts with a 30-min discovery call to explore your project challenges, technical needs and team diversity.
Manager
Maria Lapko
Global Partnership Manager