Senior Data Quality Engineer

EPAM Systems; Brasil; Teletrabalho; USD 60.000 - 100.000; Tempo integral

Resumo da oferta

Join a forward-thinking company as a remote Senior Data Quality Engineer, where you will leverage your expertise in data quality engineering to develop robust test cases and monitoring systems. Collaborate with diverse teams on international projects, ensuring high-quality data solutions while enjoying extensive healthcare benefits and opportunities for professional growth. This role offers a chance to work with cutting-edge technologies and make a significant impact in the field of data engineering. If you're passionate about data quality and eager to advance your career, this is the perfect opportunity for you.

Serviços

Healthcare benefits

Employee financial programs

Paid time off and sick leave

Upskilling and reskilling courses

Unlimited access to LinkedIn Learning

Global career opportunities

Volunteer opportunities

Award-winning culture

Qualificações

• 3+ years of experience in Data Quality Engineering.
• Proficiency in Python, Databricks, and Spark required.

Responsabilidades

• Verification of coding assumptions using pySpark APIs.
• Developing and maintaining data quality checks and metrics.

Conhecimentos

Data Quality Engineering

pySpark

Python

Databricks

Machine Learning Pipelines

Communication Skills

Ferramentas

Azure Databases

Python Notebooks

Descrição da oferta de emprego

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

The ideal candidate should have a strong background in data quality engineering and experience in running big data test cases using pySpark APIs.

Responsibilities

1. Verification of coding assumptions using pySpark APIs
2. Developing test cases for big data
3. Developing and maintaining data quality checks, controls, and metrics
4. Designing and implementing data quality monitoring systems and procedures
5. Collaborating with cross-functional teams to design, develop, and deploy high-quality data solutions

Requirements

1. Minimum 3 years of experience in Data Quality Engineering
2. Proficiency in Python, Databricks, and Spark
3. Ability to run and test ML pipelines using pySpark or willingness to learn
4. Excellent communication skills
5. Upper-intermediate English level

Nice to have

1. Understanding of Azure Databases
2. Experience with unit testing based on Python and Databricks
3. Familiarity with Python notebooks

We offer

1. International projects with top brands
2. Work with global teams of highly skilled, diverse peers
3. Healthcare benefits
4. Employee financial programs
5. Paid time off and sick leave
6. Upskilling, reskilling, and certification courses
7. Unlimited access to the LinkedIn Learning library and 22,000+ courses
8. Global career opportunities
9. Volunteer and community involvement opportunities
10. EPAM Employee Groups
11. Award-winning culture recognized by Glassdoor, Newsweek, and LinkedIn

Additional Information

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Information Technology, Engineering, and Research
• Industries: Software Development, IT Services and IT Consulting, and Pharmaceutical Manufacturing

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