Website:
bulletshorts.com
Job details:
Data Engineer – Bullet
Location: Delhi / Noida
Experience: 3–7 Years
Type: Full-Time
About Bullet MicroDrama OTT
Bullet is a next-generation microdrama platform focused on building high-engagement short-form storytelling experiences for mobile-first audiences. We are building at the intersection of entertainment, technology, AI, analytics, and monetization. Backed by Zee Entertainment, Bullet is creating a data-first content ecosystem where decisions are driven by real-time user behavior, retention, engagement, and monetization intelligence.
We are looking for a hands-on Data Engineer who can build scalable data infrastructure, own analytics pipelines, and help convert raw data into actionable business intelligence.
Role Overview
As a Data Engineer at Bullet, you will be responsible for designing and managing scalable ETL pipelines, data warehouses, dashboards, and analytics systems that power product, content, growth, and monetization decisions.
This is not a maintenance role. We are looking for someone who thrives in startup environments, takes ownership, moves fast, and can work across engineering, product, marketing, and business teams.
Key Responsibilities
- Build and maintain scalable ETL/ELT pipelines for large-scale data processing
- Design and optimize data architecture on GCP and BigQuery
- Handle structured and unstructured datasets across product, content, user, and monetization systems
- Build automated reporting systems and business dashboards
- Work closely with product, growth, content, and monetization teams to generate actionable insights
- Manage data ingestion from multiple sources including app events, APIs, payment systems, ad platforms, CRM tools, and analytics platforms
- Improve data quality, governance, monitoring, and reliability across systems
- Write optimized SQL queries and build high-performance analytical datasets
- Support real-time and batch processing workflows
- Work on big data processing and scalable analytics systems
- Help define KPIs, tracking frameworks, and decision dashboards for leadership teams
- Take ownership of end-to-end data workflows in a fast-moving startup setup
Required Skills
- Strong proficiency in Python
- Hands-on experience building ETL/ELT pipelines
- Strong expertise in Google Cloud Platform (GCP)
- Deep understanding of BigQuery
- Strong SQL and data modeling capabilities
- Experience working with large-scale datasets and big data environments
- Hands-on experience with dashboarding and visualization tools like:
- Looker Studio
- Tableau
- Power BI
- Metabase
- Similar BI tools
- Good understanding of data analytics and business intelligence
- Experience with workflow orchestration tools like Airflow is a plus
- Understanding of APIs, event tracking systems, and streaming pipelines is preferred
- Familiarity with product analytics and consumer internet metrics is an advantage
What We Are Looking For
- Someone who has worked in a startup environment
- High ownership mindset
- Ability to move fast and solve problems independently
- Strong analytical thinking and business understanding
- Comfortable handling ambiguity and building systems from scratch
- Passion for data-driven decision making
- Someone who can work closely with founders and leadership teams
Good To Have
- Experience in OTT, media-tech, consumer-tech, gaming, or content platforms
- Exposure to recommendation systems, AI analytics, or user behavior analytics
- Knowledge of real-time analytics pipelines
- Experience handling high event-volume systems
Why Join Bullet
- Opportunity to build the data backbone of a next-gen entertainment platform
- Work directly with founders and leadership
- High ownership and fast growth environment
- Solve large-scale consumer-tech and content intelligence problems
- Build systems that directly impact product growth, monetization, and content strategy
Location Preference: Delhi / Noida (Work From Office)
How to Apply ?
Please refer to the below link
https://forms.zohopublic.in/BulletShorts/form/JobApplication/formperma/Ajn_C7HjMVa9LkJZ0np1ybqYxrBfmhSBNz5q2L7MD7g
Click on Apply to know more.