A large regional bank is seeking a Data Engineer for the development of ETL pipelines, models, queries and data scripts. This person will collaborate with data architects, product owners, data scientists and C-suite executives to develop/enhance solutions aligned with the business strategy of the bank.
Salary: Up to $140k base
Location: Florham Park, NJ (3 days/week)
Visa sponsorship in not available
Keywords: Python, Spark, SQL, ETL, Azure Data Factory/Databricks, Snowflake
Responsibilities:
- Design and develop ETL pipelines, data models, queries and scripts
- Explore ways to enhance end-to-end performance across the entire process
- Contribute to data management policies, standards, and procedures. Identify opportunities for process improvement, including automating manual tasks, optimizing data delivery, and enhancing infrastructure scalability
- Architect and build Cloud-based infrastructure for both real-time and batch ETL processes
Requirements:
- Hands on development experience with: Python, Spark, SQL, Cloud-based ETL tools, Azure Data Factory/Databricks and Snowflake
- Strong experience with: Data Warehouses, Data Lakes, ETL interfaces and Data Analytics solutions
- 3+ Years of experience providing data solutions, architecture, design and delivery, in a Data Engineering role within a large financial institution
- Bachelor's degree in relevant field- Computer/Data Science, Economics, Mathematics, Statistics
