Senior Data Engineer

3 weeks ago


Singapore Saksoft Pte Limited Full time

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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