1,187 Etl jobs in Malaysia

Key Responsibilities: ETL & Data Engineering: Build and maintain robust ETL pipelines to ingest, transform, and load high-volume, high-velocity data from IT infrastructure, monitoring systems, and cloud environments. Develop batch and real-time data flows using frameworks. Optimize ETL jobs for scalability, fault tolerance, and low latency. Implement data validation, cleansing, and normalization processes for consistent AI model input. Integrate with AIOps platforms and ML pipelines using REST APIs or event-driven architectures. Develop and maintain robust data pipelines for ingesting, filter, transforming, and loading data from various sources (e.g., network devices, appliances, databases, APIs, cloud storage) Application & Backend Development: Design and build backend services (microservices, APIs) in Python / Go/Java / Ruby to support data ingestion, metadata services, and configuration management. DevOps & Orchestration: Use tools like Elastic Stack, Apache Airflow, Prefect, or Dagster to schedule and monitor ETL jobs. Implement CI/CD pipelines for deploying ETL services and full-stack apps. Required Skillset: Programming & Scripting: Proficient in one or more of the following:

Python

– ETL scripting, backend APIs, ML interfacing Ruby

– Scripting and legacy tool integration Go (Golang)

– High-performance microservices, concurrency handling Java

– Enterprise-grade systems, Spark, Kafka pipelines JavaScript/TypeScript with Next.js

– Frontend dashboards and admin UIs

Data Engineering Tools: Proficient in one or more of the following:

ETL Frameworks: Apache NiFi, Spark, Airflow, Flink, Kafka, Talend Orchestration: Airflow, Prefect, Dagster Data Storage: PostgreSQL, MongoDB, Elasticsearch, Snowflake, BigQuery Streaming Platforms: Kafka, Kinesis, Pub/Sub Data Lake/File Storage: S3, GCS, Azure Blob

Good to have: AIOps & Observability: Experience integrating with tools like Splunk, Dynatrace, AppDynamics, New Relic, Elastic Stack Familiarity with ITSM systems (e.g., ServiceNow) and CMDB integrations Understanding of metrics/logs/traces and their value in AI-driven operations Interested applicants please send your resume to Venessa Goh Wee Ni R Recruit Express Pte Ltd EA License No: 99C4599 We regret that only shortlisted candidates will be contacted.

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Overview

Proven experience as a data developer within the banking and finance industry or ideally asset servicing.

Qualifications

• Experience with ETL tools (PlatformTalend Big data)
• Strong hands-on expertise with Apache Spark (PySpark or Scala-based jobs is a plus).
• Proficiency in SQL and optimizations (performance tuning)
• Understanding of relational and columnar databases.
• Familiarity with Data Lake architectures and distributed data processing concepts.
• Knowledge on massive data storage framework (Vertica, snowflake).
• Knowledge of data streaming platforms (Kafka, streamset) would be appreciated
• Knowledge of project development methodologies (Agile).
• Experience with Git, Jenkins, Docker, or other DevOps tools is a plus.

Seniorities and Employment

• Seniority level: Mid-Senior level
• Employment type: Contract
• Job function: Analyst
• Industries: Staffing and Recruiting

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Job Description:

DXC Technology (NYSE: DXC) helps global companies run their mission-critical systems and operations while modernizing IT, optimizing data architectures, and ensuring security and scalability across public, private and hybrid clouds. The world's largest companies and public sector organizations trust DXC to deploy services to drive new levels of performance, competitiveness, and customer experience across their IT estates.

Main Responsibilities:

• Design, develop, and maintain ETL transformation rules using Talend Big Data

• Troubleshoot, debug, and resolve data integration issues to ensure data accuracy and consistency

• Collaborate with data engineers, analysts, and business stakeholders in France/Luxembourg and Malaysia when production issues arise

• Build and optimize data pipelines to support business intelligence and analytics

• Monitor data quality, performance, and compliance with internal security policies and industry standards

• Document ETL workflows and transformation rules for operational transparency

• Assist in data migration and integration from legacy systems to modern cloud platforms

• Uphold data governance and best practices across all ETL processes

Preferred Industry Background:
Experience in the finance, banking, or insurance sectors is preferred.

Academic Requirements:
Bachelor’s degree in Computer Science, Information Systems, or a related field.

Key Skills and Attributes:

• Strong business analysis capabilities

• Experience in supporting production and providing user-facing support is highly valued

• Ability to work independently and respond proactively to issues

• Strong communication and collaboration skills, especially across regional teams

Technical Skills Required:

• ETL development using Talend Big Data

• Strong understanding of data integration, transformation, and migration

• Experience with data validation, cleansing, and enrichment

• Familiarity with data governance principles

• Working knowledge of cloud-based data platforms is an advantage

Work Location: Putrajaya
Work Arrangement: Onsite

Learn more about how we deliver excellence for our customers and colleagues:

Website:

X:

Youtube:

Instagram:

At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.

Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf.More information on employment scams is availablehere .

#J-18808-Ljbffr

Overview

Senior ETL Developer – Location: Federal Territory of Kuala Lumpur, Malaysia

Responsibilities

• Design, develop, and maintain ETL processes to extract, transform, and load data from various sources into the Banking data warehouse.
• Collaborate with business analysts and stakeholders to understand data requirements, data mappings, and transformations needed for accurate data integration.
• Implement data quality checks and data validation processes to ensure the integrity of the data being processed.
• Work closely with the data architecture team to optimize data models and schemas for efficient data storage and retrieval.
• Troubleshoot and resolve data-related issues and performance bottlenecks in ETL processes.
• Perform performance tuning and optimization of ETL workflows to enhance data processing efficiency.
• Develop and maintain documentation of ETL processes, data mappings, and transformations for reference and auditing purposes.
• Participate in code reviews, ensuring adherence to best practices and data integration standards.
• Stay updated with the latest industry trends and advancements in ETL and data integration technologies.

Required Skills

• Experience as an ETL Developer in the Banking domain.
• Strong proficiency in ETL tools such as Informatica and/or ODI.
• Hands-on experience with either Teradata or Hadoop for data storage and processing.
• Solid understanding of data integration concepts, data warehousing, and ETL methodologies.
• Proficiency in SQL for data querying, manipulation, and validation.
• Familiarity with data modeling, data quality, and data governance practices.
• Ability to work effectively in a team and collaborate with cross-functional stakeholders.
• Excellent problem-solving skills with the ability to analyze complex data-related issues.
• Strong communication skills to convey technical concepts to non-technical stakeholders.
• Attention to detail and a commitment to producing high-quality work.
• Experience with version control systems and agile development methodologies is a plus.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology

Industries

• Technology, Information and Internet

#J-18808-Ljbffr

Overview

Proven experience as a data developer within the banking and finance industry or ideally asset servicing. Qualifications

Experience with ETL tools (PlatformTalend Big data) Strong hands-on expertise with Apache Spark (PySpark or Scala-based jobs is a plus). Proficiency in SQL and optimizations (performance tuning) Understanding of relational and columnar databases. Familiarity with Data Lake architectures and distributed data processing concepts. Knowledge on massive data storage framework (Vertica, snowflake). Knowledge of data streaming platforms (Kafka, streamset) would be appreciated Knowledge of project development methodologies (Agile). Experience with Git, Jenkins, Docker, or other DevOps tools is a plus. Seniorities and Employment

Seniority level: Mid-Senior level Employment type: Contract Job function: Analyst Industries: Staffing and Recruiting

#J-18808-Ljbffr

Overview

Senior ETL Developer – Location: Federal Territory of Kuala Lumpur, Malaysia Responsibilities

Design, develop, and maintain ETL processes to extract, transform, and load data from various sources into the Banking data warehouse. Collaborate with business analysts and stakeholders to understand data requirements, data mappings, and transformations needed for accurate data integration. Implement data quality checks and data validation processes to ensure the integrity of the data being processed. Work closely with the data architecture team to optimize data models and schemas for efficient data storage and retrieval. Troubleshoot and resolve data-related issues and performance bottlenecks in ETL processes. Perform performance tuning and optimization of ETL workflows to enhance data processing efficiency. Develop and maintain documentation of ETL processes, data mappings, and transformations for reference and auditing purposes. Participate in code reviews, ensuring adherence to best practices and data integration standards. Stay updated with the latest industry trends and advancements in ETL and data integration technologies. Required Skills

Experience as an ETL Developer in the Banking domain. Strong proficiency in ETL tools such as Informatica and/or ODI. Hands-on experience with either Teradata or Hadoop for data storage and processing. Solid understanding of data integration concepts, data warehousing, and ETL methodologies. Proficiency in SQL for data querying, manipulation, and validation. Familiarity with data modeling, data quality, and data governance practices. Ability to work effectively in a team and collaborate with cross-functional stakeholders. Excellent problem-solving skills with the ability to analyze complex data-related issues. Strong communication skills to convey technical concepts to non-technical stakeholders. Attention to detail and a commitment to producing high-quality work. Experience with version control systems and agile development methodologies is a plus. Seniority level

Mid-Senior level Employment type

Full-time Job function

Information Technology Industries

Technology, Information and Internet

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Job Description: DXC Technology

(NYSE: DXC) helps global companies run their mission-critical systems and operations while modernizing IT, optimizing data architectures, and ensuring security and scalability across public, private and hybrid clouds. The world's largest companies and public sector organizations trust DXC to deploy services to drive new levels of performance, competitiveness, and customer experience across their IT estates. Main Responsibilities: Design, develop, and maintain ETL transformation rules using Talend Big Data

Troubleshoot, debug, and resolve data integration issues to ensure data accuracy and consistency

Collaborate with data engineers, analysts, and business stakeholders in France/Luxembourg and Malaysia when production issues arise

Build and optimize data pipelines to support business intelligence and analytics

Monitor data quality, performance, and compliance with internal security policies and industry standards

Document ETL workflows and transformation rules for operational transparency

Assist in data migration and integration from legacy systems to modern cloud platforms

Uphold data governance and best practices across all ETL processes

Preferred Industry Background: Experience in the finance, banking, or insurance sectors is preferred. Academic Requirements: Bachelor’s degree in Computer Science, Information Systems, or a related field. Key Skills and Attributes: Strong business analysis capabilities

Experience in supporting production and providing user-facing support is highly valued

Ability to work independently and respond proactively to issues

Strong communication and collaboration skills, especially across regional teams

Technical Skills Required: ETL development using Talend Big Data

Strong understanding of data integration, transformation, and migration

Experience with data validation, cleansing, and enrichment

Familiarity with data governance principles

Working knowledge of cloud-based data platforms is an advantage

Work Location:

Putrajaya Work Arrangement:

Onsite Learn more about how we deliver excellence for our customers and colleagues: Website: X:

Youtube:

Instagram:

At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive. Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf.More information on employment scams is available

here

.

#J-18808-Ljbffr

Functional Area: Data Engineering and IT Solutions Delivery

Role Category:

Role Category: Data Integration and ETL Development

Role Category:

Role Category: --

Employment Type:

Employment Type: Full Time

Experience:

Experience: 3-5 Years

Location:

Location: Malaysia

Job Summary

• The ETL Engineer in IT Solutions Delivery is responsible for managing and developing ETL processes, maintaining job scheduling, and optimizing data pipelines for efficient load and processing. This role involves designing, developing, and implementing end-to-end data pipelines, collaborating with various teams to understand data needs, and ensuring high data quality and integrity.

Responsibilities

• Design, develop, document, and implement end-to-end data pipelines and data integration processes (batch and real-time).
• Conduct data analysis, profiling, cleansing, lineage, mapping, and transformation.
• Develop and deploy ETL/ELT jobs and workflows.
• Monitor and optimize ETL/ELT processes for reliability, efficiency, and cleanliness.
• Implement best practices in data management and lifecycle processes, including modular development, coding standards, error handling, and data archival.
• Prepare test data, create and execute test plans, test cases, and test scripts.
• Collaborate with Data Architect, Data Modeler, IT team members, SMEs, vendors, and internal business stakeholders to gather requirements and implement data solutions.
• Provide BAU support for data issues and change requests, documenting investigations, findings, recommendations, and resolutions.

Required Skills

• Familiarity with ETL/ELT frameworks, data warehousing concepts, data management frameworks, and data lifecycle processes.
• Experience handling and processing structured, semi-structured, and unstructured data.
• Strong knowledge of various database technologies (RDBMS, NoSQL, and columnar).
• Proficiency in programming languages like Python.
• Strong communication and presentation skills.
• Ability to work independently and collaborate with diverse teams in a multi-stakeholder environment.
• Strong sense of ownership, high affinity for data, and a desire for constant improvement.
• Experience in the insurance industry is an added advantage.
• Knowledge of IBM DataStage or relevant ETL software is preferable.

Required Qualification

• 3 to 5 years of working experience in ETL.
• Preferably 2 years of work experience in the insurance industry.
• Strong communication, prioritization, problem-solving, and interpersonal relationship-building skills.
• Proven time management and organizational skills, with the ability to prioritize workload and meet deadlines.

Apply Now

Name *

Email *

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#J-18808-Ljbffr

Functional Area:

Data Engineering and IT Solutions Delivery Role Category: Role Category:

Data Integration and ETL Development Role Category: Role Category:

-- Employment Type: Employment Type:

Full Time Experience: Experience:

3-5 Years Location: Location:

Malaysia Job Summary

The ETL Engineer in IT Solutions Delivery is responsible for managing and developing ETL processes, maintaining job scheduling, and optimizing data pipelines for efficient load and processing. This role involves designing, developing, and implementing end-to-end data pipelines, collaborating with various teams to understand data needs, and ensuring high data quality and integrity. Responsibilities

Design, develop, document, and implement end-to-end data pipelines and data integration processes (batch and real-time). Conduct data analysis, profiling, cleansing, lineage, mapping, and transformation. Develop and deploy ETL/ELT jobs and workflows. Monitor and optimize ETL/ELT processes for reliability, efficiency, and cleanliness. Implement best practices in data management and lifecycle processes, including modular development, coding standards, error handling, and data archival. Prepare test data, create and execute test plans, test cases, and test scripts. Collaborate with Data Architect, Data Modeler, IT team members, SMEs, vendors, and internal business stakeholders to gather requirements and implement data solutions. Provide BAU support for data issues and change requests, documenting investigations, findings, recommendations, and resolutions. Required Skills

Familiarity with ETL/ELT frameworks, data warehousing concepts, data management frameworks, and data lifecycle processes. Experience handling and processing structured, semi-structured, and unstructured data. Strong knowledge of various database technologies (RDBMS, NoSQL, and columnar). Proficiency in programming languages like Python. Strong communication and presentation skills. Ability to work independently and collaborate with diverse teams in a multi-stakeholder environment. Strong sense of ownership, high affinity for data, and a desire for constant improvement. Experience in the insurance industry is an added advantage. Knowledge of IBM DataStage or relevant ETL software is preferable. Required Qualification

3 to 5 years of working experience in ETL. Preferably 2 years of work experience in the insurance industry. Strong communication, prioritization, problem-solving, and interpersonal relationship-building skills. Proven time management and organizational skills, with the ability to prioritize workload and meet deadlines. Apply Now

Name

* Email

* Phone

*

+91

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+358

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