Responsibilities
- Be the primary contact and lead support associate for multiple critical projects / data pipelines and integrations and resolve customer issues promptly.
- Collaborate with technical / business leaders, product owners, software engineers, data architects, and data analysts to acquire and understand requirements / acceptance criteria.
- Participate in defining Data Engineering Process and Technology strategies.
- Provide day-to-day task leadership and project reviews. Communicate status and issues to team members and stakeholders.
- Produce deliverables for medium to large-sized projects with clean, well-documented, and easily maintainable code that adheres to defined coding standards.
- Design and implement internal process improvements : automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Partner with cross-functional teams to build analytics tools that utilize the data pipeline to provide actionable insights into key business performance metrics.
- Participate in building data security and data governance guidelines
- Participate in Design and Deploy Tollgate reviews and gain buy-in from cross-functional teams including QA, Architect, Security, Webmaster, and Operations.
- Contribute and influence the discovery and decision-making process when changes to standards and technology are required (tools, conventions, and design patterns).
- Assign projects and review deliverables from onshore and offshore software engineers.
- Provide constructive input to department management regarding team members assigned to the project.
- Independently conduct new hire interviews.
- Design and manage data models to handle large datasets of existing structured and unstructured data.
- Research and discover new methods to acquire data, and new applications for existing data and stay up to date with the industry standards.
- Stay current with the rapidly developing Data Engineering landscape and share knowledge internally and with customers.
- Create recommendations for increasing data utilization based on an understanding of the data delivery environment.
- Other duties as assigned.
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