Job Description

Experience: 1 to 9 Years

Role: Data Engineer

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 -

Additional Information

Career Level

Not Specified

Qualification

Not Specified

Job Type

Full-Time

Job Specializations

,

Company Overview

Saksoft is an information management specialist focussing on the Banking & Financial services. Its a CMMI Level 5 certified and works with major Global Banks and leading Regional Banks. For more details, please do visit us at www.saksoft.com

Additional Company Information

Registration No.

200007534G

Industry

Consulting (IT, Science, Engineering & Technical)

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