Senior Data Engineer

1 week ago

Lahore, Punjab, Pakistan Game District Full time

We're looking for a
Senior Data Engineer
to own and scale our end-to-end data infrastructure that powers marketing, monetization, and analytics across our gaming portfolio.

You'll design, build, and optimize data pipelines from
Adjust
,
ad network APIs
, and
in-game data sources
into our data stack. As a team leader, you'll set the technical direction, establish best practices, and mentor other engineers to deliver reliable and scalable data systems.

Key Responsibilities

  • Lead the architecture, design, and optimization of our data platform (AWS → Iceberg → StarRocks)

  • Build and maintain ETL/ELT pipelines ingesting data from:

  • Mobile Measurement Partners (MMPs) like Adjust

  • Ad network APIs (Meta, Google Ads, AppLovin, Unity Ads, IronSource, etc.)

  • Monetization and in-app purchase data sources

  • Define and enforce data engineering best practices (testing, CI/CD, versioning, documentation)

  • Collaborate with analysts, scientists, and marketing teams to design performant data models
  • Establish a data roadmap, ensuring scalability, cost-efficiency, and reliability
  • Implement data observability, alerting, and performance monitoring systems
  • Mentor and support junior data engineers, promoting high engineering standards

Requirements

  • 5+ years of experience in data engineering or related roles
  • Bachelor's degree in a STEM field (Computer Science, Engineering, Mathematics, or related)

  • Strong expertise with:

  • AWS (S3, Glue, Lambda, Athena)

  • Apache Iceberg or similar lakehouse technologies (Delta Lake, Hudi)

  • StarRocks / CelerData, ClickHouse, or similar MPP systems

  • Proficiency in Python for data processing and API integration

  • Strong SQL and data modeling skills
  • Hands-on experience integrating marketing and ad network APIs
  • Familiarity with Airflow, dbt, or other orchestration tools
  • Strong communication, leadership, and cross-functional collaboration skills

Nice to Have

  • Experience with real-time streaming (Kafka, Flink, Kinesis)
  • Familiarity with BI tools (Power BI, Looker, DataLens)
  • Experience in gaming analytics, user acquisition, or pLTV modeling

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