Senior Data Engineer

About the job

Profile Description We're seeking someone to join our Enterprise Technology team as a Senior Data Engineer, in Workforce Technology & Services for the modernization of tooling enablement function. As a Senior Data Engineer, you will be responsible for design, modelling, development and management of data warehouse objects in Snowflake data store utilizing effective data pipelines such as Talend, Informatica and APIs. The ideal candidate should have the skills listed below but in addition should be a self-driven, dedicated individual who works well in a team and thinks and acts strategically. What you'll do in the role: • Designing, implementing, managing scalable data solutions using Snowflake environment for optimized data storage and processing. • Migrate existing data domains/flows from relational data store to cloud data store (Snowflake). • Identify and optimize new/existing data workflows. • Identify and implement data integrity practices. • Integrate data governance and data science tools with Snowflake ecosystem as per practice. • Support the development of data models and ETL processes to ensure high quality data ingestion in cloud data store. • Collaborate with team members to design and implement effective data workflows and transformations. • Assist in the maintenance and optimization of Snowflake environments to improve performance and reduce costs. • Contribute to proof of concept, documentation and best practices for data management and governance within the Snowflake ecosystem. • Participate in code reviews and provide constructive feedback to improve team deliverables quality. • Design and develop data ingestion pipeline using Talend/Informatica using industry best practices. • Writing efficient SQL and Python scripts for large dataset analysis and building end to end automation process on a set schedule. • Design, implement data distribution layer using Snowflake REST API.

Requirements

• Snowflake
• ETL
• SQL
• Python
• Data analysis
• Data warehouse management

Preferred Technologies

• Snowflake
• ETL
• SQL
• Python
• Data analysis
• Data warehouse management

About the company

Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.