
Data Architect
2 days ago
This is a full-time position for a Data Engineer who will be responsible for designing, developing, and maintaining large-scale data infrastructures.
The successful candidate will develop real-time data processing pipelines using technologies like Kafka, Flink, and Spark. They will also be responsible for data modeling, ETL processes, and ensuring data quality and efficiency.
Key Responsibilities:
- Design and develop large-scale data architectures and real-time data processing pipelines
- Develop expertise in data modeling, ETL processes, and data warehousing
- Collaborate with cross-functional teams to ensure data quality and efficiency
Qualifications:
- Proficiency in Data Engineering, including experience with Kafka, Flink, and Spark
- Expertise in Data Modeling and Design
- Experience with Extract Transform Load (ETL) processes and Data Warehousing
- Strong skills in Data Analytics and problem-solving
- Excellent communication and teamwork abilities
- Ability to work in a hybrid environment, balancing in-office and remote work
- Experience with cloud platforms and big data technologies is a plus
- Bachelor's degree in Computer Science, Information Technology, or a related field
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