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Data Quality Engineer Job Opening In Chile, Chile – Now Hiring EPAM Systems


Job description

We are looking for a skilled Data Quality Engineer to join our driven team, collaborating on data ingestion processes and enabling the effective utilization of high-quality data across the company.

In this role, you will contribute to an innovative supply-chain data analytics platform that leverages artificial intelligence to transform supply-chain insights and deliver domain-specific recommendations.

Responsibilities

  • Define, implement, and maintain tooling and processes for data quality management from scratch
  • Build and enforce data quality validations within ETL pipelines
  • Set up monitoring dashboards and alerts to ensure continuous data quality tracking
  • Collaborate with cross‑functional teams to ingest, profile, and standardize data from multiple external sources
  • Leverage SQL and Python to analyze and enhance data quality metrics
  • Utilize AWS services, such as reading from S3, for data profiling and validation tasks
  • Partner with clients to identify and resolve data quality issues, ensuring effective communication and delivery of solutions
  • Work effectively amidst ambiguity and in a fast‑paced startup environment to execute tasks independently
  • Foster transparency and proactivity within the team and with stakeholders

Requirements

  • Strong experience spanning over 2 years as a Data Quality Engineer or in similar roles, with a proven ability to establish processes and tools
  • Showcase of implementing data quality checks in ETL pipelines and creating interactive dashboards and alerts
  • Proficiency in SQL and Python for data quality tasks
  • Familiarity with AWS services, with a focus on data profiling and reading data from S3
  • Background in client‑facing roles, demonstrating excellent communication skills and proactivity
  • Capability to independently execute tasks and maintain productivity without constant direction
  • Flexibility to adapt to a fast‑paced startup environment with transparent and collaborative workflows
  • English level B1+ for effective communication

Nice to have

  • Hands‑on experience working with Databricks and PySpark
  • Familiarity with multiple data quality monitoring frameworks or tools such as Great Expectations, SODA, Lightup, etc.

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

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Required Skill Profession

Ingeniería De Calidad


  • Job Details

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Unlock Your Data Quality Potential: Insight & Career Growth Guide


Real-time Data Quality Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Data Quality in Chile, Chile, highlighting market share and opportunities for professionals in Data Quality roles.

4763 Jobs in Chile
4763
338 Jobs in Chile
338
Download Data Quality Jobs Trends in Chile and Chile

Are You Looking for Data Quality Engineer Job?

Great news! is currently hiring and seeking a Data Quality Engineer to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

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 Chile laws and regulations

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

The average salary range for a varies, but the pay scale is rated "Standard" in Chile. 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 Data Quality Engineer?

Key qualifications for 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.

How Can I Improve My Chances of Getting Hired for Data Quality Engineer?

To improve your chances of getting hired for Data Quality Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Data Quality Engineer Job Success

EPAM Systems interview tips for Data Quality Engineer

Here are some tips to help you prepare for and ace your 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.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

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.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

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

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your 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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