Data Engineer

Qashio; Dubai; On-site; AED 120,000 - 180,000; Full time

Job summary

A leading fintech company in Dubai seeks a highly skilled Data Engineer. This role involves designing and maintaining scalable data pipelines in AWS, managing data storage solutions, and collaborating with various stakeholders. Ideal candidates have at least 4 years of experience and a strong foundation in data engineering best practices. Proficiency in SQL and AWS services is essential, along with the ability to ensure data quality and security. Join this innovative team and make an impact across industries.

Qualifications

• 4+ years of experience in Data Engineering or related fields.
• Experience with data storage solutions like S3 and Redshift.
• Familiarity with AWS tools such as Glue, EMR, and Lambda.

Responsibilities

• Design, build, and maintain ETL/ELT pipelines in AWS.
• Manage and monitor data storage solutions.
• Implement data transformation workflows using AWS services.

Skills

AWS cloud services

SQL

Python/Pyspark

Data modeling

Data Security

Data transformation

Education

Bachelor’s degree in Computer Science, Data Engineering, or related field

Tools

Amazon S3

Redshift

AWS Glue

Lambda

Kinesis

EMR

Kafka/MSK

Job description

Role Overview

We are seeking a highly skilled Data Engineer with strong expertise in AWS cloud services to design, build, and maintain scalable data pipelines and architectures. The ideal candidate will have deep knowledge of data engineering best practices, cloud-native solutions, and the ability to optimize data flows that power analytics and business insights.

Responsibilities

• Design, build, and maintain ETL/ELT pipelines to ingest data from various sources into AWS and GCP data platforms.
• Manage and monitor data storage solutions (Amazon S3, Redshift, etc).
• Implement data transformation workflows using services like AWS Glue, Lambda, EMR, or Step Functions.
• Ensure data quality, security, and governance across all pipelines.
• Work with streaming data solutions (Kinesis, Kafka, or MSK) when needed.
• Collaborate with Data Analysts, DevOps, Engineering, and Business stakeholders to understand data requirements.
• Monitor pipeline performance and troubleshoot issues to maintain high data availability and reliability.

Requirements

• Bachelor’s degree in Computer Science, Data Engineering, or a related field.
• 4+ years of experience in Data Engineering or related fields.
• Data Storage: S3, Redshift.
• Data Processing: Glue, EMR, Lambda, Step Functions.
• Streaming: Kinesis, Kafka/MSK.
• Proficiency in SQL and Python/Pyspark.
• Experience with data modeling, schema design, and query optimization.
• Knowledge of data security, encryption, IAM, and compliance standards.
• Familiarity with CI/CD pipelines and Infrastructure as Code.

About Qashio

The UAE's number one expense management fintech, now serving 2000+ businesses across 22 countries.