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Senior Data Quality Engineer Job Opening In WorkFromHome – Now Hiring EPAM Systems


Job description

EPAM is a leading global provider of digital platform engineering and development services.

We are committed to having a positive impact on our customers, our employees, and our communities.

We embrace a dynamic and inclusive culture.

Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow.

No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

We are looking for a skilled and experienced Senior Data Quality Engineer to join our team.

In this role, you will play a critical part in ensuring the accuracy, reliability, and efficiency of our data systems and processes at scale.

If you are passionate about leading impactful data quality initiatives and working with cutting-edge technologies, this position will allow you to shape the future of our data ecosystem.

Responsibilities

  • Lead the development and execution of data quality strategies, ensuring accuracy and reliability across data products and processes
  • Drive data quality initiatives while promoting best practices across teams and projects
  • Develop and implement advanced testing frameworks and methodologies to meet enterprise data quality standards
  • Manage and prioritize complex data quality tasks, ensuring efficiency under tight deadlines and competing priorities
  • Design and maintain comprehensive testing strategies for evolving system architectures and data pipelines
  • Provide guidance on resource allocation and prioritize testing efforts to align with business and regulatory requirements
  • Establish and continuously improve a data quality governance framework to ensure compliance with industry standards
  • Build, scale, and optimize automated data quality validation pipelines for production environments
  • Collaborate with cross-functional teams to address infrastructure challenges and enhance system performance
  • Mentor junior team members and maintain detailed documentation for test strategies, plans, and frameworks

Requirements

  • At least 3 years of professional experience in Data Quality Engineering
  • Advanced programming skills in Python for data validation and automation
  • Expertise in Big Data platforms, including tools from the Hadoop ecosystem such as HDFS, Hive, and Spark, as well as modern streaming platforms like Kafka, Flume, or Kinesis
  • Practical experience with NoSQL databases such as Cassandra, MongoDB, or HBase, managing large-scale datasets
  • Proficiency in data visualization tools like Tableau, Power BI, or Tibco Spotfire to support analytics and decision-making
  • Extensive experience with cloud platforms such as AWS, Azure, or GCP, with a strong understanding of multi-cloud architectures
  • Advanced knowledge of relational databases and SQL (PostgreSQL, MSSQL, MySQL, Oracle) in high-volume, real-time environments
  • Proven experience in implementing and scaling ETL processes using tools like Talend, Informatica, or similar platforms
  • Familiarity with deploying and integrating MDM tools into workflows, as well as performance testing tools like JMeter
  • Advanced experience with version control systems such as Git, GitLab, or SVN, and expertise in automation for large-scale systems
  • Comprehensive understanding of modern testing frameworks (TDD, DDT, BDT) and their application in data environments
  • Experience with CI/CD practices, including pipeline implementation using tools like Jenkins or GitHub Actions
  • Strong analytical and problem-solving skills, with the ability to interpret complex datasets into actionable insights
  • Exceptional English communication skills (B2 level or higher), with experience engaging stakeholders and leading discussions

Nice to have

  • Hands-on experience with additional programming languages like Java, Scala, or advanced Bash scripting for production data solutions
  • Advanced knowledge of XPath and its use in data validation and transformation workflows
  • Experience designing custom data generation tools and synthetic data techniques for advanced testing scenarios

We offer

  • International projects with top brands
  • Work with global teams of highly skilled, diverse peers
  • Employee financial programs
  • Paid time off and sick leave
  • Upskilling, reskilling and certification courses
  • Unlimited access to the LinkedIn Learning library and 22,000+ courses
  • Global career opportunities
  • Volunteer and community involvement opportunities
  • EPAM Employee Groups
  • Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

#J-18808-Ljbffr

Required Skill Profession

Ingeniería De Calidad


  • Job Details

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at EPAM Systems adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Colombia laws and regulations

What Is the Average Salary Range for Senior Data Quality Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in WorkFromHome. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Senior Data Quality Engineer?

Key qualifications for Senior Data Quality Engineer typically include Ingeniería De Calidad and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Senior Data Quality Engineer Job Success

EPAM Systems interview tips for Senior Data Quality Engineer

Here are some tips to help you prepare for and ace your Senior Data Quality Engineer job interview:

Before the Interview:

Research: Learn about the EPAM Systems's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

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Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

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Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Senior Data Quality Engineer interview at EPAM Systems, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the EPAM Systems's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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