Saksoft

Senior Data Engineer(with AS400)

Spark SQL Hadoop

March 16, 2024

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Singapore, Singapore, Singapore

March 16, 2024

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Job description

Role: Senior Data Engineer

Job level: More than 10 years of relevant experience (L4)

Key Skills

AS400, Hadoop, Data Lake, SQL, Informatica

Key Responsibilities

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, Data Frames, 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 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.

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