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About the Role
At Omega Systems and Infrastructure Solutions Ltd, we build scalable data platforms that power intelligent decision making for enterprise clients. We believe data should not just be stored it should be structured, accessible, and actionable.

We are looking for a Senior Data Engineer Analytics who can take ownership of our data architecture and pipelines. You will play a key role in designing robust data systems, enabling analytics, and supporting advanced reporting and machine learning initiatives.

You are not just moving data you are building the foundation that drives business insights. You will work closely with data analysts, data scientists, and engineering teams to transform raw data into meaningful solutions.

Why Work With Us

The Environment
Our office in Doha is located in a central business district, offering a professional and collaborative workspace designed for productivity and innovation.

Data Driven Culture
We rely on data to guide decisions. Your work will directly impact strategy, operations, and client success.

Modern Stack
We use modern tools including SQL, Python, cloud data platforms, and distributed processing frameworks to handle large scale data workloads.

Growth
You will have access to certifications, training programs, and opportunities to work on complex enterprise level projects.

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 data lakes to support analytics and reporting.

Performance Optimization
Ensure high performance and reliability of data systems through monitoring, tuning, and troubleshooting.

Collaboration
Work closely with data analysts and data scientists to deliver clean, usable datasets for reporting and modeling.

Data Governance
Implement best practices for data quality, security, and compliance across all systems.

What We Are Looking For

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

Technical Skills
Strong experience with SQL and Python
Experience with cloud platforms such as AWS Azure or GCP
Familiarity with data warehousing solutions such as Snowflake BigQuery or Redshift
Knowledge of ETL tools and workflow orchestration tools

Data Expertise
Strong understanding of data modeling, data structures, and large scale data processing.

Mindset
Detail oriented and solution focused with the ability to work in fast paced environments.

Communication
Ability to collaborate with both technical and non technical stakeholders.

نوع الوظيفة: دوام كامل, مؤقت

الراتب المدفوع: QAR٢٠٬٠٠٠٫٠٠ لكل شهر

موقع العمل: بشكل شخصي

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