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Senior Data Engineer (GCP, BigQuery, Looker) [AS233]

1 week, 2 days ago
India
Full-time
Senior
Data Engineer
Data Science and Analytics
Apache Airflow dbt GCP Looker Python SQL Terraform
Apply Now
Smart Working

Smart Working

Smart Working is a company that specializes in software development outsourcing and staff augmentation. They offer nearshore software development services, outsourcing solutions, and staff augmentation with a focus on providing highly skilled Indian de...

Internet Software & Services
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Description

  • Design, build, and maintain robust ETL/ELT pipelines that move data from source systems into Google BigQuery.
  • Develop and enforce data models and schema standards using SQL and dimensional modelling principles.
  • Own the Google BigQuery environment, including query optimisation, cost management, data governance, and scalability.
  • Build and maintain Looker explores, LookML models, and dashboards for business stakeholders.
  • Architect end-to-end data solutions across Google Cloud Platform services such as Cloud Storage, Dataflow, Pub/Sub, Cloud Functions, and Composer.
  • Partner with analytics, engineering, commercial, product, and marketing teams to translate data requirements into scalable technical solutions.
  • Champion data quality by implementing testing, monitoring, and alerting frameworks.
  • Contribute to documentation, coding standards, and architectural decision records.
  • Mentor junior data team members and help raise engineering standards across the data function.
  • Recommend tooling or process improvements based on developments in the modern data stack.

Requirements

  • 5+ years of experience in SQL and data modelling, including dimensional modelling, star schemas, and performance optimisation.
  • 3+ years of production experience with Google BigQuery.
  • 3+ years of hands-on experience with Google Cloud Platform services including Cloud Storage, Dataflow, Pub/Sub, Cloud Functions, and Composer.
  • 3+ years building and maintaining ETL/ELT pipelines at scale.
  • 1+ year of experience with Looker and LookML delivering business-facing dashboards and data products.
  • Proven experience leading at least one data project end-to-end from scoping through delivery.
  • Ability to communicate clearly with non-technical stakeholders about data limitations, timelines, and trade-offs.
  • Comfort making pragmatic architecture decisions in a cloud-native, modern data stack environment.
  • Experience with dbt for transformation layer management and testing is preferred.
  • Python skills for pipeline scripting, data validation, or automation are preferred.
  • Familiarity with Apache Airflow or Cloud Composer is preferred.
  • Background in retail, ecommerce, or fashion is preferred.
  • Exposure to real-time or streaming data pipelines using Pub/Sub or Dataflow is preferred.
  • Experience with Terraform or infrastructure-as-code practices in a GCP context is preferred.
  • Familiarity with data governance frameworks, cataloguing, and lineage tracking is preferred.

Benefits

  • Fixed shifts: 12:00 PM - 9:30 PM IST in summer and 1:00 PM - 10:30 PM IST in winter.
  • No weekend work.
  • Laptop provided on day one.
  • Full medical insurance provided on day one.
  • Mentorship and community support.
  • Long-term career opportunity where contributions are valued.
  • Remote-first work environment.

Interested in this position?

Apply directly on the company website

Apply Now

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