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Information Systems Specialist
2 weeks ago
About the Role
- This is an exciting opportunity for an experienced Data Engineer to lead our data engineering efforts and drive innovation in data management.
Key Responsibilities:
- Data Storage and Management: Our Data Engineer will be responsible for choosing appropriate database systems, optimizing data schemas, and ensuring data quality and integrity.
- ETL (Extract, Transform, Load) Processes: The successful candidate will design ETL pipelines to transform raw data into a suitable format for analysis.
- Big Data Technologies: We work with big data technologies such as Hadoop and Spark to efficiently process and analyze massive datasets.
- NoSQL Databases: In addition to traditional relational databases, our Data Engineer will often work with NoSQL databases like MongoDB and Cassandra.
- Cloud Computing: Cloud platforms like AWS, Azure, and Google Cloud are the backbone of our modern data infrastructure.
- Distributed Systems: Understanding how distributed systems work is essential for our Data Engineer.
- Streaming Data: Real-time data processing is crucial in many industries, and we work with streaming technologies like Apache Kafka.