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

2 hours, 14 minutes ago
Pakistan
Full-time
Senior
Analytics Engineer
Software Development
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
View All Jobs 92

Description

  • Design, build, and maintain robust ETL/ELT pipelines from source systems into Google BigQuery.
  • Develop and enforce data models and schema standards using SQL and dimensional modelling principles.
  • Own and optimize the Google BigQuery environment, including query performance, cost management, governance, and scalability.
  • Build and maintain Looker explores, LookML models, and dashboards for business stakeholders.
  • Work across the Google Cloud Platform stack, including Cloud Storage, Dataflow, Pub/Sub, Cloud Functions, and Composer, to deliver end-to-end data solutions.
  • Partner with analytics, engineering, and commercial teams to translate business requirements into technical solutions.
  • Implement data quality checks, testing frameworks, monitoring, and alerting to catch and resolve issues early.
  • Contribute to documentation, coding standards, and architectural decision records.
  • Mentor junior data team members and raise engineering standards across the data function.
  • Recommend tooling and process improvements based on developments in the modern data stack.

Requirements

  • 5+ years of experience in SQL and data modelling, with strong dimensional modelling, star schema, and performance optimization skills.
  • 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 of experience building and maintaining ETL/ELT pipelines at scale.
  • 1+ year of experience with Looker and LookML for business-facing dashboards and data products.
  • Demonstrated 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, preferred.
  • Python skills for pipeline scripting, data validation, or automation, preferred.
  • Experience with Terraform or infrastructure-as-code practices in GCP, preferred.
  • Background in retail, ecommerce, or fashion, preferred.
  • Familiarity with real-time or streaming data pipelines using Pub/Sub or Dataflow, preferred.
  • Familiarity with data governance frameworks, cataloging, and lineage tracking, preferred.

Benefits

  • Remote-first, long-term full-time role.
  • Opportunity to work with a global team through Smart Working's remote-first model.
  • A role with real ownership and the chance to shape standards and architecture.
  • A culture that emphasizes growth, well-being, integrity, excellence, and ambition.
  • Access to a community-focused workplace recognized as one of the highest-rated on Glassdoor.

Interested in this position?

Apply directly on the company website

Apply Now

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