Data Engineer

10 years

0 Lacs

Posted:20 hours ago| Platform: Linkedin logo

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About Bullet

microdrama OTT app

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

🚀
  • Cloud Platforms:

    AWS, GCP
  • Data Warehousing & Lakehouse:

    BigQuery, Redshift, Snowflake, Databricks
  • Data Processing & Pipelines:

    Apache Spark, Kafka, Flink, Airflow
  • Languages & Tools:

    Python, SQL, dbt
  • Dashboards & BI:

    Looker, Power BI, Tableau
  • Infra & DevOps:

    Docker, Kubernetes



What You’ll Get

  • Competitive

    ₹20 – 35 LPA salary

    aligned with Delhi NCR market standards.
  • Freedom to

    design and shape the data backbone

    of one of India’s most ambitious OTT startups.
  • A chance to work

    directly with founders and leadership

    — no corporate red tape.
  • A culture of

    speed, creativity, and ownership

    — not endless meetings.

Why Bullet?

  • Because at Bullet, your data pipelines don’t just sit in dashboards — they

    decide what millions of people binge-watch next

    . You’ll literally be architecting the future of storytelling.


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