Data Quality Analyst

Summary

EPAM Systems is a technology services company offering international projects and opportunities to work with global teams. The Data Quality Analyst will ensure data accuracy, consistency, and reliability by designing quality rules, automating validation controls, profiling datasets, and collaborating with engineering, analytics, and governance teams.

Responsibilities

• Design, implement, and maintain data quality rules and validation controls
• Perform data profiling to identify anomalies, inconsistencies, and quality gaps
• Automate data quality checks and integrate them into existing data pipelines
• Work with large volumes of data to ensure integrity and reliability at scale
• Develop and maintain monitoring, alerting, and reporting mechanisms for data quality
• Collaborate with data engineering, analytics, and governance teams to improve overall data health

Skills

• - 2+ years of experience in Data Quality, Data Analytics, Data Engineering, or Data Governance
• - Strong SQL skills, with basic knowledge of NoSQL technologies (OpenSearch/Elasticsearch)
• - Proficiency in Python for data profiling, pandas, and control automation
• - Proven experience designing and implementing data quality rules (not just consuming reports)
• - Hands-on experience working with large data volumes
• - Experience with data quality frameworks such as Great Expectations, Soda Core/SodaCL, dbt Tests, or Deequ
• - Skills in rule configuration, validation automation, alerting/monitoring, and pipeline integration
• - Familiarity with observability and reporting tools: Grafana, Zabbix, Power BI, Oracle SQL
• - Experience with Bitbucket/Jira/Git, REST APIs, and N8N
• - Experience in the telecommunications industry, OSS systems, or network inventories (a major plus)
• - Knowledge of data governance frameworks such as DAMA, TM Forum (GB1023/1025/SID), or ISO 8000 (a major plus)

Qualifications

Must Haves

• - 2+ years of experience in Data Quality, Data Analytics, Data Engineering, or Data Governance
• - Strong SQL skills, with basic knowledge of NoSQL technologies (OpenSearch/Elasticsearch)
• - Proficiency in Python for data profiling, pandas, and control automation
• - Proven experience designing and implementing data quality rules (not just consuming reports)
• - Hands-on experience working with large data volumes

Nice to Haves

• - Experience with data quality frameworks such as Great Expectations, Soda Core/SodaCL, dbt Tests, or Deequ
• - Skills in rule configuration, validation automation, alerting/monitoring, and pipeline integration
• - Familiarity with observability and reporting tools: Grafana, Zabbix, Power BI, Oracle SQL
• - Experience with Bitbucket/Jira/Git, REST APIs, and N8N
• - Experience in the telecommunications industry, OSS systems, or network inventories (a major plus)
• - Knowledge of data governance frameworks such as DAMA, TM Forum (GB1023/1025/SID), or ISO 8000 (a major plus)

Benefits

• 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