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Experienced Data Engineer Wanted
3 weeks ago
We are seeking a seasoned Data Engineer to join our team. As a key member of our data engineering team, you will play a pivotal role in designing, developing, and maintaining scalable data pipelines using PySpark.
The ideal candidate will have strong experience in PySpark, with hands-on expertise in building efficient data pipelines. You will also be proficient in using Spark SQL, DataFrame, and RDD APIs to implement complex business logic.
A solid understanding of software engineering principles and proficiency in Python (preferably) are essential for this role. Additionally, you will have experience working with cloud services such as AWS S3, AWS Glue/EMR, and Redshift.
Key Responsibilities- Design, develop, and maintain batch and streaming data pipelines using PySpark.
- Implement complex business logic using Spark SQL, DataFrame, and RDD APIs.
- Work with cloud services such as AWS S3, AWS Glue/EMR, and Redshift.
- Strong experience in PySpark.
- Hands-on expertise in building scalable data pipelines using PySpark.
- Proficiency in using Spark SQL, DataFrame, and RDD APIs.
- Proficient programming skills in Python (preferred).
- Solid coding skills with strong fundamentals in data structures, algorithms, and software engineering principles.
- Familiarity with the current data engineering landscape including distributed data processing, storage systems, and workflow orchestration tools.
- Experience working with cloud services such as AWS S3, AWS Glue/EMR, and Redshift.
This role offers a chance to work on challenging projects and collaborate with experienced professionals in the field. If you are a skilled Data Engineer looking for a new challenge, please apply.
How to ApplyTo be considered for this role, please submit your resume and a cover letter explaining why you are the ideal candidate for this position.
