FinTech Data Engineer
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Summary
A mid-to-senior data engineer (4-8 years) in Dubai building batch and real-time data pipelines and ETL/ELT workflows for financial transaction, customer, and risk data. Core stack: Python, SQL, PySpark, and data warehousing, with Databricks, Snowflake, Kafka, and Azure/AWS as preferred extras.
FinTech Data Engineer
Experience: 4–8 years
Job Summary:
Build scalable data pipelines and platforms for financial transaction, customer and risk data.
Key Responsibilities:
- Develop batch and real-time data pipelines.
- Process large financial datasets.
- Build ETL/ELT workflows.
- Integrate structured and unstructured data.
- Optimize data processing and storage.
- Ensure data quality and governance.
Desired Candidate Profile
Mandatory Skills: Python, SQL, PySpark, ETL, Data WarehousingGood to Have: Databricks, Snowflake, Kafka, Azure/AWS.