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Senior Data Engineer (Remote, Full-Time) [AS233]

1 week ago
India
Full-time
Senior
Data 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
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Description

  • Design, build, and maintain robust ETL/ELT pipelines that move data 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 intelligence reporting.
  • Work across Google Cloud Platform services such as Cloud Storage, Dataflow, Pub/Sub, Cloud Functions, and Composer to deliver end-to-end data solutions.
  • Partner with analytics, engineering, commercial, product, and marketing stakeholders to translate business needs into technical solutions.
  • Champion data quality, testing, monitoring, and alerting to catch and resolve issues early.
  • Contribute to documentation, coding standards, and architectural decision records.
  • Mentor junior data team members and help set engineering standards across the data function.
  • Recommend tooling or process improvements and stay current with 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 experience with Google BigQuery in a production environment.
  • 3+ years of hands-on experience with Google Cloud Platform, 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 dashboards and data products.
  • Demonstrated experience leading at least one data project end-to-end from scoping through delivery.
  • Strong ability to communicate data limitations, timelines, and trade-offs to non-technical stakeholders.
  • Comfort with pragmatic architecture decisions in a cloud-native, modern data stack environment.
  • Experience with dbt for transformation layer management and testing, preferred.
  • Familiarity with Apache Airflow or Cloud Composer, preferred.
  • Python skills for pipeline scripting, data validation, or automation, preferred.
  • Background in retail, ecommerce, or fashion, preferred.
  • Exposure to real-time or streaming pipelines using Pub/Sub or Dataflow, preferred.
  • Experience with Terraform or infrastructure-as-code practices in GCP, preferred.
  • Familiarity with data governance frameworks, cataloguing, and lineage tracking, 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, supporting real work-life balance.
  • Laptop provided on day one.
  • Full medical insurance provided from day one.
  • Mentorship, community, and forums for support and knowledge sharing.
  • Long-term remote career with contributions that are valued.

Interested in this position?

Apply directly on the company website

Apply Now

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