Job Title: Data Engineer (PySpark + Redshift)

Location: Philadelphia, PA (Onsite)

Duration: 12+ months / Long-term Contract

 14+ Years candidates needed

JD:

We are looking for a skilled Data Engineer with strong experience in PySpark and Amazon Redshift to design, develop, and optimize scalable data pipelines. The ideal candidate will have hands-on experience in big data processing, cloud platforms, and data warehousing solutions.

 Key Responsibilities:

• Design, build, and maintain scalable ETL/ELT data pipelines using PySpark
• Develop and optimize data workflows on Amazon Redshift
• Work with large-scale structured and unstructured datasets
• Perform data modeling, data cleansing, and transformation
• Optimize query performance and data storage strategies in Redshift
• Collaborate with data scientists, analysts, and business teams
• Ensure data quality, integrity, and governance standards
• Monitor and troubleshoot data pipeline issues