DWH Manager at Yas

Bachelor’s degree in computer science or related field (System Engineer, IS Engineer, Information Systems Engineer, IT Engineer, Network Systems Engineer)
Minimum 2-year experience in Data Warehouse complete lifecycle implementation including business requirements gathering, design, development, and deployment

Proficiency in programming languages commonly used in data engineering such as Python, Java, Scala, or similar languages is essential.
Python is particularly popular for data engineering tasks due to its extensive library support and ease of use.
In-depth knowledge of big data technologies such as Hadoop, Apache Spark, Apache Flink, and related ecosystems is crucial for building scalable and distributed data processing systems.
Familiarity with CI/CD technologies (e.g., GitLab/GitHub).
Proficiency in working with various types of databases (relational and NoSQL) and data stores such as MySQL, PostgreSQL, MongoDB, MsSQL, Redis, etc. for managing and querying structured and unstructured data.
Familiarity with data pipeline and workflow management tools such as Apache Airflow, SSIS and ETL processes.
Strong understanding of data modelling concepts and experience with Extract, Transform, Load (ETL) processes and tools for data integration and transformation (SSIS)

Knowledge of best practices/methodologies in Data Warehousing and Multi-dimensional data modelling (OLAP)
Proficiently in ETL development and maintenance with SSIS
Experience/Understanding with C# and or VB, web services and XML development.

If this description corresponds to you, grow with us by applying before December 28, 2025.

How to Apply:

Job type Full-time Job, To submit your application, please follow the link provided below.

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