Job Objectives
The Bank seeking a talented and experienced Spark Scala Developer with expertise in Elasticsearch to join their team. As a Spark Scala Developer, you will play a crucial role in designing, developing, and optimizing big data solutions using Apache Spark, Scala, and Elasticsearch. You will collaborate with cross-functional teams to build scalable and efficient data processing pipelines and search applications. Knowledge and experience in the Compliance / AML domain will be a plus.
Key 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
Key Requirements
· 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
