Pipelines that expect late and duplicate data because real sources do.
What you will do Assist on ingestion that is idempotent by device and source timestamp, watermarking that distinguishes late from missing, and warehouse modelling others can actually query. Freshness and correctness are monitored as first-class signals. What we expect SQL and Python, familiarity with a warehouse and an orchestration tool. Streaming is a plus — knowing which problems genuinely need it matters more. The pipeline you document is the one the client's engineer will run.
📌 Data Platforms & Analytics Intern (Kolkata Metropolitan Area)
🏢 Kitework Techcatalyser
📍 Kolkata Metropolitan Area
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