
Leading Enterprise Data Architect
2 days ago
Job Role Overview:
We are looking for a seasoned Big Data Engineer to lead our data engineering team in developing and maintaining large-scale data processing systems.
The ideal candidate will have extensive experience in designing, building, and operating scalable big data architectures using Apache Spark, Scala, and Python.
Key Responsibilities Include:
- Designing and implementing high-performance big data pipelines using Apache Spark and Kafka.
- Developing and maintaining large-scale data processing systems using Scala and Python.
- Collaborating with cross-functional teams to ensure smooth operation of the big data infrastructure.
- Staying up-to-date with emerging technologies and trends in big data engineering.
Requirements:
- 7-12 Years of Experience in Big Data Engineering
- Proven Track Record of Designing and Implementing Large-Scale Data Processing Systems
- Expertise in Apache Spark, Scala, and Python
- Strong Collaboration Skills with Cross-Functional Teams
- Ability to Stay Up-to-Date with Emerging Technologies and Trends
Benefits:
We offer a competitive salary package, comprehensive benefits, and opportunities for professional growth and development.
Other Requirements:
A strong understanding of cloud computing platforms such as AWS or Azure is desirable.
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