Data Engineering Specialist

1 week ago


Princeton, New Jersey, United States Orbis Full time
Job Overview:

Orbis is seeking a highly skilled Data Engineering Specialist to join their team on a contract basis. As an ideal candidate, you will have extensive experience in developing and optimizing large-scale data processing pipelines using PySpark.

About the Role:

This position requires a strong background in Python and PySpark, with a focus on working with financial datasets. The successful candidate will be responsible for designing, developing, and maintaining efficient ETL pipelines that meet the needs of the business.

Key Responsibilities:

• Develop and optimize complex ETL pipelines using PySpark
• Collaborate with data engineers and analysts to improve data workflows
• Work with large-scale financial datasets to identify opportunities for improvement
• Utilize Python database libraries for efficient data handling

Requirements:

The ideal candidate will possess 5+ years of experience in ETL development using PySpark, as well as advanced SQL proficiency for complex data transformations. A strong background in data engineering and financial services is also preferred.

Benefits:

This role offers a competitive day rate and a hybrid work model, allowing for flexibility between office and remote work. You will have the opportunity to work on high-impact data solutions in financial services and collaborate with a team of top-tier data professionals.



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