
Data Pipeline Architect
5 days ago
About the Role:
The ideal candidate will have a solid foundation in data engineering with a minimum of 7 years of experience in development on data-centric projects.
- Mandatory Skills:
- Expertise in working with real-time data and Kafka framework, including kSQL/Mirror Maker etc.
- Proficiency in at least one programming language: Groovy or Java.
- Thorough understanding of data structures, ETL design, and storage solutions.
- Hands-on experience with near real-time/streaming data pipeline development using Apache Spark, Streamsets, or Apache NIFI.
Key Responsibilities:
Create and deploy scalable data pipelines to drive business growth and inform decision-making.
Collaborate with cross-functional teams to identify opportunities for process enhancements and implement data-driven solutions.
Requirements:
A minimum of 7 years of experience in data engineering
Extensive knowledge of data structures, ETL design, and storage solutions
Experience with real-time data and Kafka framework
Proficiency in Groovy or Java programming language
Hands-on experience with Apache Spark, Streamsets, or Apache NIFI
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