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ETL Developer at CoorB – Saudi Arabia | Jobyssey

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ETL Developer

ETL Developer

CoorB · Saudi Arabia, Saudi Arabia · 3 months ago

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Category: Data engineering

analytics automation azure azure-data-factory cloud data-analytics data-quality databricks dbt elt etl lakehouse oracle spark sql ssis

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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.