Highly Skilled Data Engineer Required
17 hours ago
We are seeking a highly skilled Senior Data Engineer to lead our data engineering team in designing and developing scalable data pipelines using PySpark.
- The ideal candidate will have strong expertise in PySpark, proficient programming skills with a solid understanding of Python fundamentals, data structures, algorithms, and software engineering principles.
Key Responsibilities:
- Design and develop scalable data pipelines using PySpark.
- Implement complex business logic using Spark SQL, DataFrame, and RDD APIs.
- Develop and maintain batch and streaming data pipelines with proven experience in ETL/ELT processes.
Requirements:
- A minimum of 8 years of experience in data engineering with strong expertise in PySpark.
- Strong proficiency in programming skills with a solid understanding of Python fundamentals, data structures, algorithms, and software engineering principles.
- Familiarity with modern data engineering ecosystems including distributed data processing, storage systems, and workflow orchestration tools.
Benefits:
- Familiarity with cloud services such as AWS S3, AWS Glue/EMR, AWS Lambda, Step Functions, Redshift, and other cloud data warehouses.
- Ability to choose and apply the right Spark APIs (DataFrame, Dataset, RDD) for performance-efficient implementation of business logic at scale.
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