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2 days ago
Job Title: Data Architect
We are seeking a highly skilled Data Engineer to design and lead the development of our large-scale data infrastructure. As a key member of our team, you will oversee the creation and maintenance of efficient data processing pipelines using technologies like Apache Kafka, Flink, and Spark.
Key Responsibilities:- Bidirectional Data Pipelines: Develop robust data processing pipelines that handle high volumes of data in real-time, utilizing technologies like Apache Kafka, Apache Flink, and Apache Spark.
- Data Modeling & Design: Collaborate with cross-functional teams to create and implement robust data models, ensuring seamless integration with existing systems.
- ETL Processes & Data Warehousing: Oversee Extract, Transform, Load (ETL) processes and data warehousing efforts, guaranteeing accurate and timely data delivery.
- Data Quality & Efficiency: Implement strategies to ensure data quality and efficiency throughout the pipeline, monitoring performance and making recommendations for improvement.
- 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.
- Bachelor's degree in Computer Science, Information Technology, or a related field.
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