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Smart Working

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Senior Data Engineer, GCP, BigQuery, Looker

Data EngineerData EngineerFull TimeRemoteSeniorTeam 51-200H1B No SponsorCompany SiteLinkedIn

Location

India

Posted

46 days ago

Salary

0

Seniority

Senior

Bachelor Degree5 yrs expEnglishBigQueryCloudETLGoogle Cloud PlatformSQL

Job Description

Senior Data Engineer, GCP, BigQuery, Looker

Smart Working

• Design, build, and maintain robust ETL/ELT pipelines that move data from source systems into Google BigQuery, ensuring reliability, scalability, and observability at every stage. • Develop and enforce data models and schema standards using best-practice SQL and dimensional modelling principles, with a focus on clarity, reuse, and performance. • Own the Google BigQuery environment, optimising queries, managing costs, enforcing data governance, and ensuring the platform scales alongside the business. • Build and maintain Looker explores, LookML models, and dashboards that translate complex datasets into clear, actionable business intelligence for non-technical stakeholders. • Work across the full Google Cloud Platform stack, including Cloud Storage, Dataflow, Pub/Sub, Cloud Functions, and Composer, to architect end-to-end data solutions. • Partner with analytics, engineering, and commercial teams to understand data requirements and translate business problems into scalable technical solutions. • Champion data quality and testing frameworks, implementing monitoring and alerting so that issues are caught early and resolved quickly. • Contribute to documentation, coding standards, and architectural decision records so the team can move fast with confidence. • Mentor junior data team members and set the bar for engineering rigour across the data function. • Stay current with developments in the modern data stack and proactively recommend tooling or process improvements where appropriate.

Job Requirements

  • 5+ years of experience in SQL and data modelling, with strong command of dimensional modelling, star schemas, and performance optimisation.
  • 3+ years working with Google BigQuery in a production environment.
  • 3+ years hands-on experience with Google Cloud Platform (Cloud Storage, Dataflow, Pub/Sub, Cloud Functions, Composer).
  • 3+ years building and maintaining ETL/ELT pipelines at scale.
  • 1+ year working with Looker and LookML to deliver business-facing dashboards and data products.
  • Demonstrable experience leading at least one data project end-to-end, from scoping through to delivery.
  • Able to communicate clearly with non-technical stakeholders about data limitations, timelines, and trade-offs.
  • Comfortable making pragmatic architecture 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 where ideas are shared
  • True Belonging: A long-term career where your contributions are valued

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