Data Product Engineer: ETL Pipelines & Cloud

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)

Data Product Engineering Ownership

• Lead the design, build, and maintenance of domain owned data products

• Translate product requirements into scalable data engineering solutions

• Ensure data products meet defined:

o Functional requirements
o SLAs / SLOs
o Quality and compliance standards

Collaboration with Data Product Owner

• Partner closely with the Data Product Owner to:

o Understand business outcomes and priorities
o Refine data product scope and roadmap
o Balance delivery speed with technical sustainability

• Provide technical input for backlog prioritization and sprint planning

Data Pipeline & Transformation Design

• Design and implement ETL/ELT pipelines for data products

• Support:

o Batch and near real time processing
o Structured and semi structured data

• Manage schema evolution and backward compatibility

• Implement data contracts for product consumers

Data Quality, Reliability & Trust

• Define and enforce data quality rules for data products

• Implement:

o Validation checks
o Reconciliation logic
o Data freshness monitoring

• Ensure high availability and fault tolerance

• Lead root cause analysis for data incidents

• Drive continuous quality improvement