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Job Description: Data Engineer (Mid–Senior Level) Location: Delhi NCR (On-Site) Team: Tech & Product Type: Full-time Compensation: ₹20 – 35 LPA (Market Standard, Based on Experience & Skills) Application Link About Bullet Bullet is India’s first microdrama OTT app backed by Z. We create bingeable 90-second vertical dramas for the mobile-first audience. Think of it as cinema in your pocket, powered by coins and cliffhangers . We’re scaling fast, and data is the heartbeat of everything — from personalizing what people watch next to optimizing monetization. That’s where you come in. What You’ll Do Design, build, and maintain scalable data pipelines, ETL/ELT workflows, and real-time systems for user insights, engagement tracking, and revenue optimization. Own the data lake/warehouse architecture and keep it future-proof as we move from millions to 100M+ users. Collaborate with product, growth, and content teams to translate business questions into data-driven solutions . Implement data governance, monitoring, and validation layers to ensure reliability. Work on recommendation, personalization, and ad-tech data models in partnership with product/AI teams. Thrive in a fast-paced startup environment where experiments run daily, and shipping fast beats polishing forever . What We’re Looking For 5–10 years of Data Engineering experience (consumer-tech / OTT / adtech exposure = big plus). Strong hands-on with SQL + Python + distributed systems (Spark, Kafka, Flink, etc.). Proven experience designing and managing data infrastructure on AWS and GCP (multi-cloud comfort = ideal). Knowledge of data warehousing & lakehouse solutions (BigQuery, Redshift, Snowflake, Databricks, etc.). Experience with real-time streaming + batch pipelines . Familiarity with analytics platforms/dashboards (Looker, Power BI, or similar). Startup DNA: you can juggle priorities, solve problems without perfect processes, and still deliver clean, working pipelines . Bonus: Interest in recommendation engines, ad monetization, or token economies . Our Tech Stack