Backend Engineer
APIs, data modelling, reliability and incident handling for product backends.
APIs, data modelling, reliability and incident handling for product backends.
SQL, analysis, dashboards and turning numbers into decisions.
Dashboards, SQL reporting, KPI definitions and helping teams act on data.
Web front ends, APIs, databases and shipping complete features end to end.
A technical screen on API design, data access, debugging, testing and practical backend trade-offs under realistic load.
Analytical thinking, data quality, basic spreadsheet reasoning, communication and commitment to project-based learning.
Python services, REST APIs, database queries, validation and systematic debugging of backend faults.
Statistical foundations, coding experience, project reasoning and motivation for advanced study in data science.
Building reliable Power BI models, measures and dashboards from business data and user requirements.
Warehouse data modelling, dbt project design, data quality tests and trustworthy business metrics.
Warehouse modelling, dbt project design, data quality and dependable analytics delivery across business teams.
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