data engineer - Singapore - D L RESOURCES PTE LTD

Description

• Design, develop, and implement data processing pipelines to process large volumes of structured and unstructured data
• Should have good knowledge and working experience in Database and Hadoop (Hive, Impala, Kudu).
• Should have good knowledge and working experience in scripting using (Shell script, awk programming, quick automation to integrating any third party tools), BMC monitoring tools
  Good understanding and knowledge in Data Modelling area using industry standard data model like (FSLDM)
• Collaborate with data engineers, data scientists, and other stakeholders to understand requirements and translate them into technical specifications and solutions
  It will be good to have experience in working with No SQL as well as virtualized Database Environment
• 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
• Prior experience in developing banking application using ETL, Hadoop is mandatory. In depth knowledge of technology stack at global banks is mandatory.
• Flexibility to stretch and take challenges
• Communication & Interpersonal skills
• Attitude to learn and execute
• Key Skills: AS400 , Hadoop , Data Lake, SQL , Informatica

Job Requirements:

• 7+ years of AS400, RPG, CLP & SQL
• Knowledge of Aldon Change Management System (ACMS) is a must·
• Experience in developing Hadoop
• Experience in data lake (integration of different data sources into the data lake)
• SQL Stored Procedures/Queries/Functions
• Unix Scripting
• Experience with distributed computing, parallel processing, and working with large datasets
• Familiarity with big data technologies such as Hadoop, Hive, and HDFS
• Job Scheduling in Control-M
• 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