Data Engineer Lead

Data Warehouse Developer

Responsibilities:

• Lead data warehouse development activities for a team, leading more than one project in parallel.

• Assign data warehouse development tasks to team of 1-6 developers (Onsite/Offshore).

• Be a subject-matter expert (SME) in Data Warehouse domain and relevant business function.

• Work with minimal supervision and provide status updates and escalation to leadership as appropriate.

• Provides application support as part of an on-call rotation to work on resolving outages and user questions.

• Review project objectives and determine best technology to apply.

• Design and build large scale datasets for a wide range of consumer needs.

• Build, test and implement highly efficient data pipelines using a variety of technologies.

• Develop best practice standards for solution design and data structures.

• Analyze new data sources to understand quality, availability, and content.

• Write technical design documentation.

• Conducts peer code reviews.

• Create and executes unit tests.

• Supports QA team during testing.

• Mentor less experienced members of the development team.

Knowledge/Skills/Abilities:

• Experience overseeing other developers.

• Proven ability to model data for reporting and analytics needs.

• Proven ability to design and implement applications using best practices.

• Proven ability to analyze and understand existing processes and code.

• Works and communicates effectively with all levels of management.

• Excellent written, verbal, and people skills.

• Must work well within team-oriented environments.

• Proven ability to work in Agile development methodology.

Mandatory Skills: Snowflake, dbt, ETL, AWS