
Big Data Solutions Architect
2 days ago
This is a leadership role that requires expertise in designing and implementing big data solutions using Hadoop v2, Map Reduce, HDFS, Sqoop, and Spark-Streaming.
- Develop and maintain large-scale data processing systems using Apache Storm or Spark-Streaming.
- Collaborate with cross-functional teams to integrate data from multiple sources including RDBMS (SQL Server, Oracle), ERP, Files.
- Perform performance tuning of Spark Jobs and optimize system resources for maximum efficiency.
Requirements:
- 8+ years of experience in Big Data & Data related technology.
- Expert-level understanding of distributed computing principles.
- Hands-on experience with Apache Spark.
- Proficiency with Python programming.
The ideal candidate will have strong leadership skills and be able to design and implement big data solutions that meet business needs.
Key Responsibilities:
- Design and implement data pipelines using Apache Beam.
- Work with messaging systems such as Kafka or RabbitMQ.
About the Role:
We are seeking a highly experienced and skilled Big Data Solutions Architect to join our team.
Requirements:
- 5-12 years of experience in Big Data & Data related technology.
- Expert-level understanding of distributed computing principles.
- Hands-on experience with Apache Spark.
- Proficiency with Python programming.
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