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Smart Working Solutions

Senior App & Frontend Developer AS233

Full-time Global / Not Specified Engineering & Tech Senior

Salary not specified
Posted April 29, 2026
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About the Role

Smart Working is seeking a Senior professional to join a collaborative engineering and analytics team. In this role, you will be embedded in the full data lifecycle—ingestion, transformation, modelling, and surfacing insights—while shaping architecture and standards for a brand that takes its data seriously.

Responsibilities
  • Design, build, and maintain robust ETL/ELT pipelines into Google BigQuery, ensuring reliability and scalability.
  • Develop and enforce data models and schema standards using SQL and dimensional modelling principles.
  • Own and optimize the Google BigQuery environment, managing costs and enforcing data governance.
  • Build and maintain Looker explores, LookML models, and dashboards for non-technical stakeholders.
  • Architect end-to-end data solutions across the GCP stack, including Dataflow, Pub/Sub, and Cloud Functions.
  • Partner with commercial, product, and marketing teams to translate business problems into technical solutions.
  • Mentor junior team members and maintain high engineering standards and documentation.
Requirements
  • 5+ years of experience in SQL and dimensional data modelling (star schemas, performance optimization).
  • 3+ years of production experience with Google BigQuery and Google Cloud Platform (Cloud Storage, Dataflow, Pub/Sub).
  • 3+ years of experience building and maintaining ETL/ELT pipelines at scale.
  • Experience with Looker and LookML to deliver business-facing data products.
  • Ability to communicate technical limitations and trade-offs to non-technical stakeholders.
Nice to Have
  • Experience with dbt (Data Build Tool) and orchestration tools like Apache Airflow.
  • Python skills for pipeline scripting and automation.
  • Background in retail, e-commerce, or fashion.
  • Knowledge of Terraform or Infrastructure-as-Code.
Benefits
  • Fixed Shifts: 12:00 PM - 9:30 PM IST (Summer) / 1:00 PM - 10:30 PM IST (Winter).
  • Work-Life Balance: No weekend work and a remote-first culture.
  • Day 1 Benefits: Company laptop and full medical insurance provided.
  • Professional Growth: Mentorship and a genuine community focused on long-term success.
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Required Skills

SQL Data Modelling Google BigQuery Google Cloud Platform ETL/ELT Looker LookML Python dbt Apache Airflow Dataflow Pub/Sub
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