Analytics Data Engineer

We are looking for a talented Analytics Data Engineer to join our team in Islamabad. This full-time role is ideal for candidates ready to start immediately and passionate about turning raw data into meaningful insights. The successful candidate will be instrumental in utilizing user analytics data from multiple platforms and products to support data-driven decision-making and enhance business outcomes.

Key Responsibilities
- Extract, process, and analyze data from platforms such as Google Analytics, Google Ads, AdMob, Meta, and TikTok.
- Develop and maintain scalable data pipelines using Apache Airflow to ensure smooth data integration and flow.
- Design and optimize data models within Google BigQuery to enhance query performance and accessibility.
- Collaborate with cross-functional teams to gather analytics requirements and deliver data solutions tailored to mobile apps and gaming environments.
- Implement and manage ETL processes and data warehousing strategies to ensure data quality and reliability.
- Effectively utilize Google Cloud Platform (GCP) services and integrate them with BigQuery to strengthen data infrastructure.

Required Qualifications
- Demonstrated experience working with user analytics data from platforms including Google Analytics, Google Ads, AdMob, Meta, and TikTok.
- Strong expertise in Google BigQuery, particularly in data modeling, query optimization, and performance tuning.
- Solid understanding of ETL processes and data warehousing principles.
- Proficiency in building and managing data pipelines using Apache Airflow.
- Familiarity with Google Cloud Platform services and their integration with BigQuery.
- Experience handling user analytics data in mobile app and gaming contexts is highly desirable.

Preferred Qualifications and Benefits
- Immediate availability to join the team is preferred.
- Competitive monthly salary ranging from Rs250,000 to Rs300,000.
- Opportunity to work onsite in a collaborative environment at Phase 7, Islamabad.
- Join a growing organization focused on building scalable data infrastructure and driving data-driven success.

If you are passionate about leveraging data to empower teams and improve decision-making, we encourage you to apply and help us unlock the full potential of user analytics data.