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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, popular Data Engineer role, metro location, and broad platform requirements raise competition.
Platform-specific Teradata and Databricks skills moderately limit cross-industry portability.
Explicit 7–10 years requirement plus Databricks, Teradata, and Kubernetes skills create stringent filters.
Job Description
Structured overview of role & requirementsAbout This Role
Develop and maintain advanced data structures and pipelines to standardize, transform, and ensure quality data for insights and reporting.
Create ingestion frameworks for structured/unstructured data with quality checks and reporting mechanisms, and establish data consumption methods including database views and APIs.
Provide strategic guidance as a data engineering expert, mentor junior engineers, optimize data sourcing and processing, and contribute to internal tool and framework development.
Minimum Requirements
Bachelor's Degree preferred; relevant coursework/experience considered.
7-10 years of relevant work experience required.
Experience with data platforms such as Kubernetes, Teradata, and Databricks.
Ability to work nights, weekends, and variable schedules as necessary.
Ideal Candidate Profile
Experienced in managing complex data pipelines with a focus on data quality and transformation.
Proficient in implementing data solutions aligned with architectural standards and data privacy requirements.
Able to provide technical leadership and mentorship within data engineering teams.