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Data Engineer

Florham Park, NJ, USA
Data
Mid-Level Software Engineer
Hybrid
Finance

Description For Data Engineer

Qode is seeking a skilled Data Engineer to join their team in a hybrid work arrangement based in Florham Park, New Jersey. This role focuses on building and maintaining data infrastructure in the financial services sector. The ideal candidate will work with PySpark, SQL, and ETL development to create robust data pipelines. You'll collaborate with data architects, analysts, and business stakeholders while ensuring data quality and performance optimization. The position offers an opportunity to work with modern data technologies and cloud platforms, requiring both technical expertise and strong communication skills. This role is perfect for someone who combines deep technical knowledge in data engineering with an understanding of financial services domain requirements and data governance standards.

Last updated a day ago

Responsibilities For Data Engineer

  • Design, develop, and maintain scalable and efficient ETL pipelines using PySpark and SQL
  • Perform data extraction, transformation, and loading from various sources to target data platforms
  • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
  • Optimize and tune PySpark and SQL scripts for performance and scalability
  • Ensure data quality and integrity across all pipelines and systems
  • Troubleshoot data pipeline issues and perform root cause analysis as needed

Requirements For Data Engineer

Python
  • Strong programming experience with PySpark and Python
  • Advanced SQL skills – ability to write complex queries and optimize performance
  • Solid experience in building and managing ETL pipelines in large-scale data environments
  • Experience working with cloud-based data platforms is a plus (AWS/GCP/Azure)
  • Familiarity with version control tools like Git
  • Good understanding of data warehousing concepts and practices
  • Previous experience in the financial services domain is highly desirable
  • Knowledge of data governance, data security, and compliance standards
  • Strong analytical and problem-solving skills
  • Excellent verbal and written communication skills

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