Data Engineering Team Lead
1 month ago
The purpose of this role is to lead a technical Scrum team in delivering and improving business processes of IT solutions within Investment Management. The Team Lead will use analytical skills to help develop complex solutions and code in full stack Python, Snowflake, SQL, and Data Warehouse. Key responsibilities include designing business functions, applications, information, and infrastructure architectures, ensuring coding, testing, debugging, and maintaining components of information applications, and playing a pivotal Data Engineering Lead role to produce solutions across the Investment Management data spectrum.
Key Responsibilities:
- Code high-risk and/or high-complexity modules and establish patterns & practices for the team to follow.
- Collaborate with Architects, Product Owners, and Scrum Masters to establish requirements and to implement overall project plan & solution design.
- Interact with business and technical stakeholders to understand requirements, challenges, and expectations.
- Define and ensure adherence to standards and guidelines and on-time delivery of team deliverables.
- Own Analysis, High Level Design/Architecture, and a direction for the project.
Requirements and Qualifications:
- 8-12 years of overall IT experience with hands-on experience in coding.
- 7+ years of experience in Python, Snowflake, SQL and Data Warehouse skills, Data Vault modeling would be a plus.
- 2+ years of experience working as a Technology Lead or any similar role with capability and strong desire to be a lead in an Agile environment.
- 1+ years of experience with Cloud native development on Azure or a related Cloud.
This role requires excellent verbal & written communication skills with strong interpersonal & influencing skills and ability to effect change in a matrix managed organization. The ideal candidate will have a proven track record of delivering complex solutions and a strong understanding of cloud native development.
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