About the Client
Our client is one of the reputed MNC firms in Singapore
Responsibilities
• 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
• 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
Skills/Requirement
Must have Skills:
• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
• Strong experience in developing Spark applications. Experience with Spark Streaming is a plus
• Proficiency in Scala programming language and familiarity with functional programming concepts
• In-depth understanding of Apache Spark architecture, RDDs, DataFrames, and Spark SQL
• Experience integrating and working with Elasticsearch for data indexing and search applications
• Solid understanding of Elasticsearch data modeling, indexing strategies, and query optimization
• Experience with distributed computing, parallel processing, and working with large datasets
• Familiarity with big data technologies such as Hadoop, Hive, and HDFS
• Proficient in performance tuning and optimization techniques for Spark applications and Elasticsearch queries
• Strong problem-solving and analytical skills with the ability to debug and resolve complex issues
• Familiarity with version control systems (e.g., Git) and collaborative development workflows
• Excellent communication and teamwork skills with the ability to work effectively in cross-functional teams
Interested candidates, who wish to apply for the above position, please send in your resume to [email protected]
We regret to inform that only shortlisted candidates will be contacted
PERSOLKELLY Singapore Pte Ltd
EA License No. 01C4394
EA Registration No. R1547247 (Jyothi Chandrakanth Kamath)
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