Data Engineer (Data Product)

TechDigital Group; Warsaw (IN); On-site; USD 90,000 - 120,000; Full time

Job summary

TechDigital Group is seeking a Data Product Engineer in Warsaw, Indiana. The role involves leading the design and maintenance of data products aimed at driving business outcomes. You'll collaborate with data product owners to refine product roadmaps while implementing robust ETL/ELT pipelines. Proficiency in cloud platforms (Azure, AWS, GCP) and Data Warehousing (Snowflake, Azure Synapse) is essential. This position promises to challenge and elevate your skill set in a dynamic environment.

Qualifications

• Strong understanding of a Data as a Product mindset.
• Ability to convert business outcomes into data product requirements.
• Expertise in ETL/ELT design patterns and cloud technologies.

Responsibilities

• Lead design, build, and maintenance of data products.
• Translate product requirements into scalable data solutions.
• Define and enforce data quality rules.

Skills

Data as a Product mindset

Business outcome translation

Data contracts management

Domain knowledge (Finance, Sales, Supply Chain, Customer, Risk)

ETL / ELT design patterns

Cloud expertise (Azure, AWS, GCP)

Data Warehousing (Snowflake / Azure Synapse)

Job description

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:
  • Functional requirements
  • SLAs / SLOs
  • Quality and compliance standards

Collaboration with Data Product Owner

• 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

Data Pipeline & Transformation Design

• 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

Data Quality, Reliability & Trust

• 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