- Kuala Lumpur Federal Territory Malaysia

Working Location
Job Description
Responsibilities
Company Description Softenge is a technology company based in Brazil, focused on delivering data-driven solutions to a diverse range of clients. The organization values technical excellence, reliability, and collaboration in its approach to software and data services. Team members work with modern tools and methodologies to support business performance and informed decision-making. Softenge offers an environment where professionals can grow their expertise while contributing to impactful, real-world projects.
Job Purpose
The Senior ETL OPS developer is responsible for ensuring the stability, reliability, and timely delivery of enterprise data pipelines and batch processing environments. This role oversees end-to-end ETL operations, including monitoring, incident resolution, and performance optimization of data workflows. The incumbent drives operational excellence, enforces data governance standards, and collaborates with data engineering, platform, and business teams to ensure data availability and accuracy for critical business functions.
1.
To whom or what it should be done?
The incumbent drives operational excellence, enforces data governance standards, and collaborates with data engineering, platform, and business teams to ensure data availability and accuracy for critical business functions.
2.
How it supports the business?
Support business-critical cycles (e.g., daily and month-end processing, regulatory deadlines)
Key accountabilities & outcomes Accountability Supporting Activities Outcome/ deliverables
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Maintain operational stability and data quality in the Data Lake / ETL environment and execute all scheduled batches successfully within SLA timelines.
2.
Support deployment, scheduling, and operational changes in production environments
1. Provide batch status updates and incident communications
2. Prepare operational reports and dashboards
3. Escalate critical issues as per support process
4.Coordinate change implementation and validations
5.Validate critical data loads and reconciliations 6.Perform proactive checks on failed or delayed jobs
1. Successful completion of batches within SLA
2. Reduced batch failures and downtime
3. Consistent operational performance
4. Accurate and complete data processing
5. Smooth implementation of production changes
6. Improved operational visibility and stakeholder communication
7. Faster response during critical incidents
Restricted
Education
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Bachelor Degree / Master in IT/Computer Science / Engineering or related discipline
Must have hands on experience:
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Working experience in Data Warehouse banking, BI, reporting tools, data modeling and design and etc or equivalent
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SQL ( Teradata /Oracle )– Intermediate / Advance
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Big Data/Hadoop ,Azure ,Databricks ,Ozone
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Scala/Python
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UNIX Shell scripting
Ideal to have but not pre-requisite:
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Teradata (TPT)
2.
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