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Role
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.
- 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.
- 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.
- 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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Skills
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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