Senior Data Quality Engineer

EPAM Systems; Brasil; Teletrabalho; USD 70.000 - 100.000; Tempo integral

Resumo da oferta

A leading company in software development is seeking a remote Senior Data Quality Engineer. The successful candidate will utilize advanced skills in Data Quality Engineering, working with T-SQL and Python to ensure data integrity. Responsibilities include designing automated tests and collaborating with global teams on international projects, alongside attractive benefits including healthcare and professional development courses.

Serviços

International projects with top brands

Healthcare benefits

Employee financial programs

Paid time off and sick leave

Upskilling and certification courses

Unlimited access to LinkedIn Learning

Global career opportunities

Volunteer and community involvement opportunities

Qualificações

• At least 3 years of experience in Data Quality Engineering.
• B2+ English level required.

Responsabilidades

• Create test plans and test cases for data pipelines.
• Identify and document data quality issues.
• Perform regression testing for bug fixes.

Conhecimentos

Data Quality Engineering

T-SQL

Python

Data Profiling

QA and Testing best practices

Data Analysis

ETL Tools

Azure DevOps

Descrição da oferta de emprego

1 week ago Be among the first 25 applicants

We are seeking a remote Senior Data Quality Engineer to join our team.

The ideal candidate must have advanced skills in Data Quality Engineering and be able to write complex scripts using T-SQL and Python (Pandas). They must have experience with various file formats, relational tables in SQL Server, and have a good understanding of QA and Testing best practices.

Responsibilities

• Create test plans and test cases to do end-to-end testing of data pipelines
• Appropriately identify data quality issues, and document them for bug fixes
• Perform regression testing for bug fixes
• Design test harness for automated testing
• Work with Azure DevOps and various ETL Tools especially ADF and Databricks
  
  
  

Requirements

• At least 3 years of experience in Data Quality Engineering
• Expertise in Advanced Data Analysis using T-SQL, Python (familiarity with Pandas)
• Proficient in Data Profiling and identifying data issues related to data types, formats, missing values, duplicate data, etc.
• Experience working with various file formats more specifically CSV, Parquet, Any other Delimited, XML, JSON
• Good understanding of QA and Testing best practices
• B2+ English level
  
  
  

Nice to have

• Good understanding of time series and historical data
• Understanding of OLTP and OLAP systems
• Familiarity with various encodings like ASCII and UNICODE
  
  
  

We offer

• International projects with top brands
• Work with global teams of highly skilled, diverse peers
• Healthcare benefits
• 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
  
  
  

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology, Engineering, and Research

• Industries

  Software Development, IT Services and IT Consulting, and Pharmaceutical Manufacturing

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