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Protocol Intelligence
Data-driven signals on your job's competitivenessGeneralist data-engineer title, popular 3-5 year band, and known hosting brand increase competition.
Core data engineering skills are broadly transferable across industries with low domain specificity.
Explicit 3-5 years plus mandatory pipeline, SQL, and data-modeling skills enforce strict filters.
Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and maintain reliable batch and/or streaming data pipelines to load data into the warehouse without silent failures.
Develop and optimize data warehouse schemas (fact/dimension modeling, partitioning, indexing) to enable scalable analytics and reporting.
Collaborate with analytics, product, and engineering teams to create well-modeled, reusable datasets and proactively monitor pipeline health and data quality.
Minimum Requirements
3-5 years of experience in data engineering or a related backend/data role.
Solid experience with relational databases and dimensional data-warehousing concepts.
Proven experience building and operating data pipelines (batch or streaming), beyond one-off scripts.
Strong SQL skills and working proficiency in Python or another common data engineering language.
Ideal Candidate Profile
Experienced in managing scalable data warehouse infrastructures and balancing query performance with cost.
Ability to translate ambiguous data requirements into structured, reusable datasets collaborating cross-functionally.
Familiarity with AI-assisted development tools and CI practices for data pipelines to ensure quality and efficiency.