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Location
In office (Saudi Arabia)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 22, 2026. First seen by Alion on Jun 16, 2026. CoorB scores B on the Alion truth index.

Overview
Company
Impact
Profile match
CoorB helps banks, fintech, payment & wallet providers, and financial-services businesses launch, modernize and scale financial products. Modular products, deep expertise, proven delivery. Built for MENA.

ABOUT CoorB

We build full-fledged innovative solutions with a focus on process automation, user experience enhancement, and advanced data analytics. With our extensive industryexpertise, we help achieve operational excellence, future-proof your IT investments, and ensure a competitive edge in the ever-evolving finance industry.

OUR OPPORTUNITY

The ETL Developer supports existing integration pipelines while building, migrating, optimizing, and validating target-state ETL/ELT pipelines.

YOU WILL

  • Maintain and support existing ETL pipelines across Informatica, DataStage, SSIS, Oracle procedures, or other tools.
  • Analyze current pipeline logic, dependencies, schedules, transformations, and failure points.
  • Document existing source-to-target mappings and transformation rules.
  • Build new target-state pipelines using approved ETL/ELT technologies.
  • Migrate selected legacy ETL logic into modern pipelines.
  • Implement batch, incremental, CDC, and streaming ingestion patterns.
  • Develop cleansing, validation, enrichment, and error-handling logic.
  • Support data reconciliation between current and target platforms.
  • Optimize pipeline performance and reduce redundant data movement.
  • Implement audit logging, exception handling, monitoring, and restartability.
  • Support decommissioning of legacy ETL jobs after successful migration.

Requirements

  • TO BE SUCCESSFUL IN THE ROLE YOU NEED

  • Strong SQL and database experience.
  • Experience with ETL tools such as Informatica, DataStage, SSIS, ODI, Talend, Azure Data Factory, Databricks, or similar.
  • Understanding ofDWH, ODS, staging, lakehouse, and data mart patterns.
  • Experience with batch loads, incremental loads, CDC, SCD handling, and reconciliation.
  • Knowledge of data quality rules, audit logging, error handling, and job monitoring.
  • Experience with cloud data platforms, Spark, dbt, or lakehousetechnologies is preferred.
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