Pyspark Data Engineer job in Dubai

Position

We are seeking an experienced Pyspark Data Engineer with expertise in Data Architecture, Data Strategy, and the implementation of large-scale end-to-end Data Management and Analytics solutions. The ideal candidate will have a strong background in transforming traditional Data Warehousing approaches to Big Data-based frameworks and a proven track record in managing risks and data security.

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Key Responsibilities:

Design and implement Data Management strategies for large and complex organizations.
Utilize dimensional modeling techniques, including Star and Snowflake schemas.
Apply cloud-native principles in systems design and deployment.
Enhance Continuous Integration (CI) and Continuous Development (CD) environments.
Maintain high standards of Data Quality, Governance, Security, Metadata Management, and Archival strategies.
Define workload migration strategies using appropriate technologies.
Collaborate with various internal IT partners in a matrixed delivery environment.

Required Skills:

Proficient in data processing frameworks and platforms such as Hadoop, Presto, Tez, Hive, and Spark.
Hands-on experience with programming languages including Linux, Python, and PySpark.
Strong problem-solving, influencing, communication, and presentation abilities.
Capable of working independently while managing multiple tasks/projects in a fast-paced environment.

Location: Dubai, Dubai, United Arab Emirates
Work Conditions: Hybrid, Full-time Language Requirements: None specified.

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