We are seeking a Senior Data Engineer to join our Data team,
The Data team develops and maintains the infrastructure for internal data and product analytics,
In this role, you will design and manage complex data pipelines and work closely with data analysts,
software engineers, and other stakeholders to continuously improve data processes and solutions.
What you will do:
Architect, develop, and maintain scalable, end-to-end data pipelines from diverse data sources
Monitor and maintain data systems, ensuring uptime, reliability, and stability
Provide technical expertise and insights to shape overall data strategy and best practices
Strong team player with excellent communication skills.
The Data team develops and maintains the infrastructure for internal data and product analytics,
In this role, you will design and manage complex data pipelines and work closely with data analysts,
software engineers, and other stakeholders to continuously improve data processes and solutions.
What you will do:
Architect, develop, and maintain scalable, end-to-end data pipelines from diverse data sources
Monitor and maintain data systems, ensuring uptime, reliability, and stability
Provide technical expertise and insights to shape overall data strategy and best practices
Strong team player with excellent communication skills.
Requirements:
5+ years of professional experience in data engineering, with a proven track record in building and managing large-scale data pipelines
3+ years experience with Python
Demonstrated expertise in designing and implementing data lake/warehouse solutions
Strong background in ETL processes, data integration, and big data technologies
Proficiency in data modeling, business logic processes, and data warehouse design
Preferred Qualifications
Background in backend development
Experience with Elasticsearch
Familiarity with modern data processing frameworks and tools such as Spark, Kubernetes, Docker
Bachelors degree in computer science, Industrial Engineering or a related analytical discipline (or equivalent experience).
5+ years of professional experience in data engineering, with a proven track record in building and managing large-scale data pipelines
3+ years experience with Python
Demonstrated expertise in designing and implementing data lake/warehouse solutions
Strong background in ETL processes, data integration, and big data technologies
Proficiency in data modeling, business logic processes, and data warehouse design
Preferred Qualifications
Background in backend development
Experience with Elasticsearch
Familiarity with modern data processing frameworks and tools such as Spark, Kubernetes, Docker
Bachelors degree in computer science, Industrial Engineering or a related analytical discipline (or equivalent experience).
This position is open to all candidates.
