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About the Role
**Senior Bigdata/PySpark Engineer**
**Overview**
We are seeking a highly skilled and experienced Senior Bigdata/PySpark Engineer to join our dynamic Big Data Analytics team. The ideal candidate will have a strong background in Python programming and extensive experience with Apache Spark, particularly PySpark, for large-scale data processing and analytics. This role involves designing, developing, and optimizing robust and scalable data pipelines, working with vast datasets, and contributing to the architecture of our Big Data solutions.
**Responsibilities:**
+ Design, develop, and maintain efficient, scalable, and reliable data pipelines using PySpark.
+ Implement complex data transformations, aggregations, and data quality checks on large datasets.
+ Collaborate with multiple stakeholders (technology and business) to understand data requirements and translate them into technical specifications.
+ Optimize PySpark jobs for performance, effi...
**Overview**
We are seeking a highly skilled and experienced Senior Bigdata/PySpark Engineer to join our dynamic Big Data Analytics team. The ideal candidate will have a strong background in Python programming and extensive experience with Apache Spark, particularly PySpark, for large-scale data processing and analytics. This role involves designing, developing, and optimizing robust and scalable data pipelines, working with vast datasets, and contributing to the architecture of our Big Data solutions.
**Responsibilities:**
+ Design, develop, and maintain efficient, scalable, and reliable data pipelines using PySpark.
+ Implement complex data transformations, aggregations, and data quality checks on large datasets.
+ Collaborate with multiple stakeholders (technology and business) to understand data requirements and translate them into technical specifications.
+ Optimize PySpark jobs for performance, effi...
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