About Us
Liquidnitro Games is India’s flagship live services and game production company, founded by industry veterans with a proven track record in producing massively successful games and live operations. We empower global studios and publishers to grow, optimize, and personalize their games through cutting-edge technology and live services platforms.
Role Overview
As a Data Engineer Architect, you will define and drive the architecture behind our next-generation data platform powering hyper-personalized player experiences and AI-driven business outcomes across global titles. You will own the design and implementation of real-time and batch data pipelines, data governance frameworks, and ML infrastructure that operate at petabyte scale.
This is a critical leadership role in shaping our cross-title data stack and enabling low-latency insights, secure data exchange, and intelligent systems that impact millions of players across our global game network.
Key Responsibilities
- Design, develop, and maintain modular, reusable ETL/ELT pipelines to process large volumes of in-game telemetry, user behavior, monetization, CRM, ad networks, and marketing data.
- Own ingestion and transformation workflows for assigned modules, including user segmentation, retention, personalization, and monetization analytics.
- Combine raw information from different sources to create unified, reliable data sets.
- Analyze and organize raw data into clean, well-structured systems.
- Implement automated testing, monitoring, and data validation to ensure pipeline reliability and data integrity.
- Optimize workflows for performance, cost-efficiency, and low latency in both real-time and batch contexts.
- Explore ways to enhance data quality, reliability, and governance.
- Build and maintain robust pipelines that directly support machine learning workflows, feature stores, and vector databases for advanced AI use cases.
- Deploy machine learning models in production in collaboration with the AI/ML team.
- Work closely with product managers, data scientists, AI/ML engineers, and senior architects to align pipelines with broader data architecture and agentic AI solutions.
- Participate in technical design reviews, code reviews, and knowledge sharing across teams.
- Support integration efforts for packaged and customized applications from a data perspective.
- Develop and deliver workflows, small applications, and dashboards for internal and external stakeholders.
- Follow best practices for version control (Git), CI/CD, workflow orchestration (Airflow, Prefect), and modern data engineering standards.
- Contribute to the adoption of best practices in data analysis methodologies and processes.
- Represent the team in industry forums, conferences, and partner discussions as needed.
Skills & Experience
- 2–5 years of experience designing, building, and maintaining production-grade data pipelines at scale.
- Strong programming skills in SQL, Python, PySpark, and familiarity with JavaScript.
- Deep understanding of relational databases, database design, data models, data mining, and segmentation techniques.
- Practical knowledge of deploying machine learning models in production environments.
- Hands-on experience with workflow orchestration tools (Airflow, Prefect) and distributed processing frameworks (Spark, Beam).
- Familiarity with cloud data warehouses like BigQuery, Redshift, or Snowflake.
- Working knowledge of AWS services such as EC2, RDS, and Redshift (good to have).
- Strong data analysis, business analysis, and stakeholder management skills — able to gather and document requirements across diverse teams.
- Excellent critical thinking skills, attention to detail, initiative, and resourcefulness.
- Experience interpreting trends, conducting complex data analyses, and reporting actionable insights.
Why Join Us?
You’ll be shaping the data backbone of a next-generation Agentic AI platform that supports millions of players and a diverse portfolio of live games. From defining unified player intelligence models to building ML-ready pipelines that power real-time personalization and monetization, your work will directly drive innovation at the heart of live service games.