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Senior Data Engineer PySpark Python
Job Description & How to Apply Below
Role Overview
We are seeking a highly experienced Senior Data Engineer with expertise in PySpark, Python, Hadoop, and large-scale data engineering pipelines. The role involves building secure and scalable data platforms, enabling advanced analytics, and supporting machine learning workflows.
Location: Dubai
Experience: 8+ Years
Work Mode: Hybrid (3 Days Onsite)
Key Responsibilities- Acquire business requirements and perform exploratory data analysis (EDA).
- Build scalable and high-performance data pipelines using Python, Spark, and Hadoop.
- Perform feature engineering and support machine learning data workflows.
- Collaborate with Data Scientists, Analytics teams, and stakeholders in Agile environments.
- Optimize distributed data processing and ensure data quality and governance.
- Strong expertise in Python, PySpark, Spark optimization, Hadoop, and SQL.
- Experience in enterprise data engineering and ML pipelines.
- Familiarity with Git, Agile methodologies, and cloud-native data environments.
- Strong analytical and communication skills.
Contact:
#J-18808-LjbffrPosition Requirements
10+ Years
work experience
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