This job offer is no longer available
About
Jefferies is a leading global investment banking and capital markets firm that provides advisory, sales and trading, research, and wealth and asset management services. The company is seeking an experienced Data Engineer to develop and manage data systems, oversee cloud migrations, and collaborate with cross-functional teams to implement optimal cloud-based solutions.
Responsibilities : • Developing, overseeing, organizing, storing, and analyzing data and data systems. • Cloud migrations for data pipelines using AWS and Snowflake, • Participating in all aspects of the software development lifecycle for AWS and Snowflake solutions, including planning, requirements, development, testing, and quality assurance. • Collaborating with cross-functional teams to define, design and ship new features. • Working in tandem with our engineering team to identify and implement the most optimal cloud-based solutions. • Ensuring application performance, uptime, and scale, maintaining high standards for code quality and thoughtful design. • Troubleshooting incidents, identify root causes, fix and document problems, and implement preventive measures.
Qualifications : Required : • Working experience on Snowflake Platform • Strong SQL and PL/SQL • Working Cloud knowledge on AWS (Certification preferred) • Working Snowflake knowledge with Designing data warehouses • Strong hands-on experience in Python with ETL concepts • Good understanding on Metadata and data lineage
Preferred : • Hands on knowledge on SQL Analytical functions, Views, Materialized Views • Strong knowledge and hands-on experience in SQL, Unix shell scripting
Company :
Jefferies provides research and execution services in equity, fixed income, and foreign exchange markets. Founded in 1962, the company is headquartered in New York, USA, with a team of 5001-10000 employees. The company is currently Late Stage.
Languages
- English
Notice for Users
This job was posted by one of our partners. You can view the original job source here.