Data Engineer; Data Product

Mandatory Skills

• Strong understanding of Data as a Product mindset
• Ability to convert business outcomes into data product requirements
• Defining and managing Data product scope/Data contracts
• Domain knowledge (e.g., Finance, Sales, Supply Chain, Customer, Risk)
• Expert in ETL / ELT design patterns
• Hands on experience with Azure / AWS / GCP
• Hands on experience with Data Warehouses (Snowflake/Azure Synapse)

• Lead the design, build, and maintenance of domain owned data products
• Translate product requirements into scalable data engineering solutions
• Ensure data products meet defined:
  • Functional requirements
  • SLAs / SLOs
  • Quality and compliance standards

• Partner closely with the Data Product Owner to:
  • Understand business outcomes and priorities
  • Refine data product scope and roadmap
  • Balance delivery speed with technical sustainability
• Provide technical input for backlog prioritization and sprint planning

• Design and implement ETL/ELT pipelines for data products
• Support:
  • Batch and near real time processing
  • Structured and semi structured data
• Manage schema evolution and backward compatibility
• Implement data contracts for product consumers

• Define and enforce data quality rules for data products
• Implement:
  • Validation checks
  • Reconciliation logic
  • Data freshness monitoring
• Ensure high availability and fault tolerance
• Lead root cause analysis for data incidents
• Drive continuous quality improvement