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19 Jul 2023
Director, Data Engineering (40000058)
Category: Data And Analytics Division
Job Type:
Facility: Data & Analytics
Job Responsibilities:
- Architecting & implementing data platforms of the highest complexity
- Defines the data & technology architecture in a flexible & scalable manner to meet current business needs
- Designs the architecture to comprise of reusable frameworks in the application & platform
- Incorporates non functional considerations into the design of the architecture
- Defines processes & standards to support the operationalization of Data & Technology Architecture
- Advices & supports application teams in detailed design for data platforms
- Ensures cross team integration and proper hand-offs of code/tasks to meet schedules
- Research and evaluate Data Engineering tools and frameworks
- Participate on POCs and assist in client presentations
- Assist engineering leadership in hiring and interviewing top talent
- Assist in developing center of excellence, best practices, documentation, reusable assets
- Proficient in distributed architecture, understanding of required infrastructure setup
Key Relationships - Direct Manager
Head of Data Engineering
Key Relationships - Direct Reports
Data Engineer, Senior Data Engineer, Data Architect
Success Profile - Qualification and Experiences
- 15+ years of experience with significant experience in the Data Engineering space
- Experience in designing and building robust and highly scalable data platform and data pipelines
- Experience with leading a team of experienced data professionals
- Prior experience working in the consulting space will be highly advantageous
- Strong programming proficiency using 1 or 2 of the following languages: Scala, Python, Java
- Extensive experience with data modeling and designing/supporting both streaming and batch ETL pipelines
- Clear understanding of distributed computing, especially in databases
- Hands-on in SQL and NOSQL experience
- Experience with open-source technologies (Spark, Kafka, Presto, Hive, Cassandra etc.)
- Experience working on any of the Cloud platforms (GCP, AWS, Azure)
- Strong communications skills and presentation skills to C levels
- Ability to manage numerous requests concurrently and be able to prioritize and deliver
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