Lead Automation Data QA(Python) Engineer (#593)

N-iX is looking for a Lead Automation Data QA Engineer.

Responsibilities:

• Lead and manage a team of data quality engineers.
• Provide guidance, mentorship, and training to team members.
• Develop and implement data quality strategies and roadmaps.
• Collaborate with stakeholders to define data quality standards and metrics.
• Establish and maintain a robust data quality framework.
• Implement and maintain data quality assurance processes.
• Monitor and report on data quality metrics.
• Create and maintain documentation for data quality initiatives.
• Set up automation based on data quality rules, processes, and best practices.
• Investigate and perform root cause analysis of data-related issues, collaborating with relevant teams to determine underlying causes and implement effective solutions.
• Support team members, and provide recommendations.

Qualifications and Skills:

• 6+ years of relevant work experience in data analysis, quality assurance, data governance, or a similar field is highly desirable.
• Proven leadership experience in guiding and mentoring a team of data quality engineers.
• Experience in implementing and maintaining data quality frameworks (AWS Glue Data Quality, Great Expectations, DBT DQ Tools, Soda) with effort and cost-effectiveness in mind
• Proficiency in SQL, Python (Spark, Pandas), or similar languages for querying and manipulating data.
• Experience with automation approach for AWS/DBT/Snowflake stack. Experience in automation tools.
• Experience in the setup of automation framework and CI/CD on AWS Code Pipeline.
• Strong understanding of data quality principles and methodologies, data profiling, generation, validation, scorecards
• Experience with ETL (Extract, Transform, Load) processes and tools.
• Strong analytical and problem-solving skills, with an attention to detail.
• DB (relational, document)
• Ability to create comprehensive documentation of data quality processes, standards, and issues.
• Ability to convey complex technical concepts to both technical and non-technical stakeholders.
• Upper-Intermediate level of English
• Ukrainian language Advanced or higher

Nice to have:

• Kafka knowledge is a plus
• The ability to work with big data technologies is a plus
• Proficiency in Snowflake’s SQL syntax and unique features