Senior Software Specialist (contract)

persol tech services pte. ltd.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Persol Tech Services Pte Ltd in Singapore is seeking a data engineer to design, develop, and maintain large-scale data systems in a big data environment, handling structured and unstructured data.

You will work with Teradata, Oracle, Hive, Impala, HDFS, Spark, Scala, and HBase, and implement modern data transformation methods using DBT. Real-time data streaming with Kafka and ETL automation with Talend are also involved.

Qualifications

• Bachelor’s degree in computer science, Data Engineering, Information Systems, or a related field.
• Experience in Data Engineering, Big Data solutions, and analytics functions.
• Strong background in traditional structured database environments such as Teradata / Oracle, SQL & PL/SQL.
• Fluent in the management of structured and unstructured data, as well as modern data transformation methodologies and tools like DBT.
• Proficient in Hadoop ecosystem components (e.g., HIVE, Impala, HDFS, Spark, Scala, HBase)
• Hands-on experience working on real-time data and streaming applications using Kafka or other similar tools
• Hands-on experience in automation process – building procedures, ETL and automated job scheduling using data integration tool such as Talend

Responsibilities

• Design, develop, and maintain Big Data solutions for both structured and unstructured data environments.
• Work with traditional structured databases such as Teradata, Oracle, and perform SQL/PLSQL development.
• Manage and process large datasets using the Hadoop ecosystem, including tools like HIVE, Impala, HDFS, Spark, Scala, and HBase.
• Develop and implement modern data transformation methodologies using tools like DBT.

Skills

Data Engineering

Big Data analytics

SQL & PL/SQL

Real-time data processing

Education

Bachelor’s degree in computer science, Data Engineering, Information Systems, or a related field

Tools

Teradata

Oracle

HIVE

Impala

HDFS

Spark

Scala

HBase

DBT

Talend

Kafka

Job description

About the Project

Building and maintaining large scale data systems in big data environment.

Responsibilities

• Design, develop, and maintain Big Data solutions for both structured and unstructured data environments.
• Work with traditional structured databases such as Teradata, Oracle, and perform SQL/PLSQL development.
• Manage and process large datasets using the Hadoop ecosystem, including tools like HIVE, Impala, HDFS, Spark, Scala, and HBase.
• Develop and implement modern data transformation methodologies using tools like DBT.

Skills/Requirement

• Bachelor’s degree in computer science, Data Engineering, Information Systems, or a related field.
• Experience in Data Engineering, Big Data solutions, and analytics functions
• Strong background in traditional structured database environments such as Teradata / Oracle, SQL & PL/SQL.
• Fluent in the management of structured and unstructured data, as well as modern data transformation methodologies and tools like DBT.
• Proficient in Hadoop ecosystem components (e.g., HIVE, Impala, HDFS, Spark, Scala, HBase)
• Hands-on experience working on real-time data and streaming applications using Kafka or other similar tools
• Hands-on experience in automation process – building procedures, ETL and automated job scheduling using data integration tool such as Talend

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