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5 days ago
As a seasoned data engineer, you will play a pivotal role in shaping the company's data strategy and building scalable data pipelines.
The ideal candidate will have hands-on expertise in designing, developing, and maintaining batch and streaming data pipelines using PySpark.
They should also be proficient in implementing complex business logic using Spark SQL, DataFrame, and RDD APIs, as well as proficient programming skills with solid coding skills in Python.
Candidates with experience working with cloud services such as AWS, Apache Airflow, dbt, Delta Lake, etc. are highly preferred.
Requirements- Strong experience in PySpark with hands-on expertise in building scalable data pipelines.
- Proficiency in using Spark SQL, DataFrame, and RDD APIs to implement complex business logic.
- Proficient programming skills with solid coding skills in Python.
- Familiarity with modern data engineering landscape, including distributed data processing, storage systems, and workflow orchestration tools.
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