Senior Data Engineer, GCP, BigQuery, Looker

This is a fully remote position, open to applicants in Pakistan.

📋 Description

• Design, develop, and sustain efficient ETL/ELT pipelines that transfer data from source systems into Google BigQuery, guaranteeing reliability, scalability, and observability at every phase.

• Establish and uphold data models and schema standards utilizing best-practice SQL and dimensional modeling principles, emphasizing clarity, reusability, and performance.

• Take ownership of the Google BigQuery environment, optimizing queries, managing costs, enforcing data governance, and ensuring the platform scales in alignment with business growth.

• Create and maintain Looker explores, LookML models, and dashboards that convert complex datasets into clear, actionable business intelligence for non-technical stakeholders.

• Operate across the entire Google Cloud Platform stack, including Cloud Storage, Dataflow, Pub/Sub, Cloud Functions, and Composer, to design comprehensive data solutions.

• Collaborate with analytics, engineering, and commercial teams to comprehend data requirements and translate business challenges into scalable technical solutions.

• Advocate for data quality and testing frameworks, implementing monitoring and alert systems to identify issues early and address them promptly.

• Contribute to documentation, coding standards, and architectural decision records to enable the team to operate swiftly and confidently.

• Mentor junior members of the data team and uphold high engineering standards across the data function.

• Remain updated on advancements in the modern data stack and proactively suggest tooling or process enhancements when appropriate.

⛳️ Requirements

• Over 5 years of experience in SQL and data modeling, with a strong grasp of dimensional modeling, star schemas, and performance optimization.

• More than 3 years of experience with Google BigQuery in a production setting.

• At least 3 years of hands-on experience with Google Cloud Platform (Cloud Storage, Dataflow, Pub/Sub, Cloud Functions, Composer).

• Over 3 years of experience in building and maintaining ETL/ELT pipelines at scale.

• More than 1 year of experience working with Looker and LookML to deliver business-oriented dashboards and data products.

• Proven experience leading at least one data project from inception to completion.

• Capable of communicating effectively with non-technical stakeholders regarding data limitations, timelines, and trade-offs.

• Comfortable making practical architectural decisions within a cloud-native, modern data stack environment.

🏝️ Benefits

• Valued, empowered, and part of a culture that celebrates integrity, excellence, and ambition.