
Cloud Data Engineer
3 days ago
Description:
We are seeking an experienced Data Engineering professional to join our team. As a Cloud Data Engineer, you will be responsible for designing, building, and maintaining large-scale data processing systems on cloud-based platforms.
Key Responsibilities:
- Design and implement scalable data pipelines using tools like Apache Beam, AWS Glue, and Apache NiFi.
- Develop and deploy real-time data processing applications using Spark Streaming, Flink, or similar technologies.
- Maintain and optimize existing data processing systems to ensure high performance and reliability.
- Collaborate with cross-functional teams to integrate data processing systems with other business applications.
- Analyze and troubleshoot data processing issues to resolve problems efficiently.
Requirements:
- Bachelor's degree in Computer Science, Information Technology, or related field.
- At least 5 years of experience in data engineering with expertise in cloud-based data processing systems.
- Strong programming skills in languages like Java, Python, or Scala.
- Hands-on experience with Big Data technologies such as Hadoop, Spark, Hive, and HBase.
- Experience with NoSQL databases like MongoDB, Cassandra, or Couchbase.
- Familiarity with cloud-based platforms like AWS, Azure, or Google Cloud Platform.
Benefits:
We offer a competitive salary, bonus structure, and benefits package, including health insurance, retirement plan, and paid time off. We also provide opportunities for career growth and professional development through training programs and mentorship.
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