Senior Data Engineer, GCP, BigQuery, Looker

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

📋 Description

• Design, construct, and sustain robust ETL/ELT pipelines that transfer data from source systems into Google BigQuery, ensuring reliability, scalability, and observability throughout every phase.

• Develop 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 by 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 transform intricate datasets into straightforward, actionable business intelligence for non-technical stakeholders.

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

• Partner with analytics, engineering, and commercial teams to grasp data requirements and convert business challenges into scalable technical solutions.

• Advocate for data quality and testing frameworks, implementing monitoring and alerting systems to identify issues promptly and resolve them efficiently.

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

• Mentor junior data team members and establish high standards for engineering rigor within the data function.

• Stay updated with advancements in the modern data stack and proactively suggest tooling or process enhancements when suitable.

⛳️ 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 working 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).

• Minimum of 3 years building and maintaining ETL/ELT pipelines at scale.

• Over 1 year of experience working with Looker and LookML to create business-facing dashboards and data products.

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

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

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

🏝️ Benefits

• Fixed Shifts: 12:00 PM - 9:30 PM IST (Summer) | 1:00 PM - 10:30 PM IST (Winter)

• No Weekend Work: Real work-life balance, not just words

• Day 1 Benefits: Laptop and full medical insurance provided

• Support That Matters: Mentorship, community, and forums for sharing ideas

• True Belonging: A long-term career where your contributions are valued