Data Engineer

Job Description

• Take
  end-to-end responsibility for building, optimizing, and supporting existing and new data pipelines aligned with the defined target vision.
  
• Champion
  a DevOps mindset and principles, managing CI/CD pipelines, Terraform, and Cloud infrastructure—primarily on Google Cloud Platform(GCP).
  
• Ensure
  that data products are designed as independent deployment units and adhere to defined standards for security, scalability, observability, and performance.
  
• Collaborate
  closely with the Product Manager and key stakeholders to define the vision for data products and identify new opportunities to support evolving business needs.
  
• Partner
  with product teams across domains to enable data sharing and integration within a data mesh context.
  
• Drive
  continuous improvement, enhance data engineering practices, and reduce technical debt.
  
• Maintain
  up-to-date expertise in data engineering, analytics, and cloud technologies.
  

• Experience
  with GCP services such as Cloud Run
  
• Exposure
  to large-scale data processing and orchestration frameworks (e.g., Spark, Beam, Hive).
  
• Experience
  with various data formats (e.g., Avro, Parquet,Iceberg,Hudi).
  
• Experience
  with DBT in production data transformation workflows.
  
• Knowledge
  of modern data governance and cataloging practices.
  
• Experience
  with data visualization tools and collaboration with analytical stakeholders.