The Data Engineer will design and implement Spark Scala applications and data processing pipelines, integrate Elasticsearch for efficient data querying, and optimize performance. Responsibilities include collaborating with stakeholders, developing fault-tolerant applications, and troubleshooting data quality issues.
- Design, develop, and implement Spark Scala applications and data processing pipelines to process large volumes of structured and unstructured data
- Integrate Elasticsearch with Spark to enable efficient indexing, querying, and retrieval of data
- Optimize and tune Spark jobs for performance and scalability, ensuring efficient data processing and indexing in Elasticsearch
- Collaborate with data engineers, data scientists, and other stakeholders to understand requirements and translate them into technical specifications and solutions
- Implement data transformations, aggregations, and computations using Spark RDDs, DataFrames, and Datasets, and integrate them with Elasticsearch
- Develop and maintain scalable and fault-tolerant Spark applications, adhering to industry best practices and coding standards
- Troubleshoot and resolve issues related to data processing, performance, and data quality in the Spark-Elasticsearch integration
- 5+ Years as Data Engineer
- 5 Years experience in Spark, Scala, Elastic Search
- Develop and maintain scalable and fault-tolerant Spark applications, adhering to industry best practices and coding standards
- Monitor and analyze job performance metrics, identify bottlenecks, and propose optimizations in both Spark and Elasticsearch components
- Stay updated with emerging trends and advancements in the big data technologies space to ensure continuous improvement and innovation
- Mandatory Skills : Spark, Scala & Elastic Search
Top Skills
Scala
Spark
Unison Consulting Singapore Office
1 Changi Business Park Crescent, , Plaza 8 #03-06 Tower A, Singapore, , Singapore, 486025
Unison Consulting Singapore Office
#12-00, 63 Market Street, Bank of Singapore Center, Singapore, , Singapore, 048942
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