Data Engineering Academy focused on Snowflake and Databricks for professionals interested in expanding their technical capabilities. Fully remote with future office work in Monterrey or Saltillo after completion.
About the role
- Senior Data Engineer leading technical development of Quantexa-based solutions at KPMG. Collaborating with architects and stakeholders to deliver high-quality solutions.
Responsibilities
- Develop and optimise data ingestion pipelines and transformations within the Quantexa platform using Spark and Scala.
- Configure and implement Quantexa components such as Entity Resolution, Scoring, and Network Generation to support specific use cases.
- Collaborate with Tech Leads and Solution Architects to design scalable and performant Quantexa solutions.
- Translate business and technical requirements into efficient, production-ready data engineering solutions.
- Support the integration of Quantexa into broader enterprise data architectures, working closely with cloud, security, and DevOps teams.
Requirements
- Quantexa Technical Certification is required.
- Demonstrable experience in leading client data engineering and integration projects for major clients
- Hands-on experience of designing and implementing Quantexa solutions for clients.
- Technical excellence in Scala, Python and Databricks
Benefits
- Flexible working hours
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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