Senior Data Engineer Analytics

About This Role

About the Role:
At Yimmiline Digital Solutions Ltd, we build scalable data platforms that power intelligent business decisions. Our focus is on delivering high performance data systems that support analytics, machine learning, and real time insights for enterprise clients. We believe that strong data foundations drive innovation, and we are looking for a Senior Data Engineer Analytics to lead the design and optimization of our data infrastructure.

You will play a key role in transforming raw data into reliable and structured datasets that support analytics and business intelligence. You are not just moving data you are designing systems that enable faster smarter decisions across the organization.

Why Work With Us:

The Environment:
Our office is located in a prime commercial district in Doha, offering a professional and collaborative workspace designed for focus and innovation.

Impact and Ownership:
You will take ownership of critical data systems and have direct influence on architecture and technical decisions from day one.

Modern Stack:
We work with modern cloud platforms and tools including AWS Azure GCP Spark Airflow and advanced SQL based systems.

Growth:
We support continuous learning with access to training resources certifications and industry events to keep your skills competitive.

Key Responsibilities:

Data Pipeline Development:
Design build and maintain scalable ETL and ELT pipelines for structured and unstructured data

Data Architecture:
Develop and optimize data models data warehouses and lakehouse architectures

Performance Optimization:
Ensure data systems are efficient reliable and capable of handling large scale data processing

Data Quality and Governance:
Implement validation monitoring and governance processes to maintain high data quality

Collaboration:
Work closely with data analysts data scientists and business stakeholders to understand requirements and deliver solutions

Cloud Integration:
Manage and optimize cloud based data platforms and storage solutions

What We Are Looking For:

Experience:
5 to 8 years of experience in data engineering analytics or related roles

Technical Skills:
Strong experience with SQL Python and data processing frameworks such as Spark

Cloud Platforms:
Hands on experience with AWS Azure or GCP

Tools:
Experience with Airflow dbt Kafka or similar data orchestration and streaming tools

Data Warehousing:
Strong understanding of data modeling ETL processes and warehouse design

Mindset:
Detail oriented problem solver with the ability to work independently and deliver high quality solutions

الراتب المدفوع: QAR١٨٬٥٠٠٫٠٠ لكل ساعة

موقع العمل: بشكل شخصي