
Big Data Architect
5 days ago
Job Title: Real-time Systems Developer
This is a full-time hybrid role that involves building and maintaining large-scale data infrastructures, developing real-time data processing pipelines using technologies like Kafka, Flink, and Spark. The role includes data modeling, ETL processes, and ensuring data quality and efficiency.
Responsibilities:- Design and implement scalable data models for complex data systems.
- Develop and maintain real-time data processing architectures using Kafka, Flink, and Spark.
- Guarantee data integrity and performance through efficient ETL processes and data warehousing.
- Collaborate with cross-functional teams to design and implement effective data solutions.
Requirements:
- Proficiency in Data Engineering, including experience with Kafka, Flink, and Spark.
- Expertise in Data Modeling and Design Principles.
- Experience with Extract Transform Load (ETL) processes and Data Warehousing Technologies.
- Strong skills in Data Analysis and Problem-Solving Techniques.
- Excellent Communication and Teamwork Abilities.
- Ability to work in a Hybrid Environment, balancing In-Office and Remote Work.
Benefits:
- Opportunity to work on cutting-edge real-time data processing projects.
- Chance to collaborate with experienced professionals in the field.
- Professional growth and development opportunities.
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