Data Engineer Lead
Omni Inclusive
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
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