ETL Developer

  • Riyadh, Saudi Arabia
  • On-site
  • Full-time
  • Posted

on CoorB's careers page

No Arabic required

Not mentioned in the job post: salary, visa sponsorship, relocation, where you can apply from

ABOUT CoorB

We build full-fledged innovative solutions with a focus on process automation, user experience enhancement, and advanced data analytics. With our extensive industry expertise, 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 of DWH, 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 lakehouse technologies is preferred. 



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