Data Operations Engineer
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Role details
Tech stack
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Job description
we are seeking a Data Operations Engineer responsible for ensuring the smooth operation of data pipelines, workflows, and governance systems that support our Day-to-Day (D2D) Data Governance activities., * Manage and maintain Linux-based data pipelines to ensure efficient and accurate data flows.
- Develop and maintain shell scripts to automate data processing, transformation, and loading.
- Collaborate with data engineers to optimize workflows and improve overall data quality.
Job Scheduling & Release Management
- Create, schedule, and manage jobs in Control-M to ensure timely processing and delivery.
- Coordinate with planning teams to execute releases with minimal operational disruption.
- Monitor execution, analyze logs, and troubleshoot job failures to maintain integrity., * Detect, respond to, and resolve data-related incidents swiftly to reduce business impact.
- Perform root cause analysis, implementing corrective actions to avoid recurrence.
- Document incidents, resolutions, and lessons learned for continuous improvement.
Data Management
- Manage databases, run queries, and resolve connectivity issues.
- Work closely with data analysts and engineers to strengthen governance and quality.
- Develop and maintain data quality checks to guarantee accuracy and reliability., * Dedicated Manager
- Monthly Report
- Responsible co-ordination
- On-time work
Requirements
The ideal candidate has a strong background in Linux system administration, scripting, and data management, combined with hands-on experience in job scheduling and release management. This role requires close collaboration with data engineers, analysts, and business stakeholders to maintain data quality, integrity, and availability., * Strong analytical problem-solving mindset.
- Clear communication with stakeholders to meet data needs.
- Flexibility and adaptability in a dynamic data environment., * Basic knowledge of Ab Initio development and data governance principles.
- Experience with Git or other version control systems.
- Familiarity with mainframe systems for data integration., * English: Fluent (mandatory)
- Dutch or French: At least one is mandatory; knowledge of the other is a plus, * Minimum 6 years of relevant experience in Data Analytics / Data Operations.
Technical (Mandatory)
- Strong background in Linux system administration, scripting, and data management.
- Experience in job scheduling (Control-M) and release management.
Technical (Preferable)
- Ab Initio development basics.
- Experience with Git.
- Knowledge of mainframe integration.
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