Job Description
Join our Enterprise Data Management team as a Sr. Data Engineer. Preferably, role will be located in our Jersey City, NJ global headquarters which has a flexible hybrid work model.
Collaborate with data scientists, analysts, and other stakeholders to understand data needs and deliver appropriate solutions.
Use tools like Databricks, Python, Spark, and other tools to build cutting-edge data pipelines and dynamic data solutions.
Develop high-quality optimized code to process vast amount of data.
Implement data improvements and optimization techniques to enhance the data products.
Continuously evaluate and adopt new technologies and tools to enhance data engineering capabilities and efficiency.
Build and maintain data pipelines to integrate data from various source systems.
Optimize data pipelines for performance, reliability and cost-effectiveness.
Perform data analysis required to troubleshoot and assist in resolving data issues.
Handle production workload and resolve issues in timely manner.
Work with enterprise cloud operations teams to implement best practices for performance monitoring, cloud resource management, including scaling, cost control and security.
Stay up-to-date with the latest technologies and trends in data engineering, data warehousing, ETL, data quality, and modern ETL operations.
Mentor and support junior data engineers as and when needed.
