Implementation Data Engineer

Responsibilities:

• Data Assessment: Assess a customer's data landscape and source systems for assigned engagements and translate that into a concrete ingestion plan.
• Connector Configuration: Select and configure the applicable Bluecopa connectors for each customer's sources; flag gaps where a standard connector does not fit.
• Pipeline Construction: Build and operate ingestion pipelines that feed downstream solutions, following the team's reference designs and standards.
• Data Quality and Validation: Validate ingested data for completeness, correctness, and veracity, and implement the data-quality checks that protect downstream reconciliation and close processes.
• Sizing and Estimation: Apply ingestion sizing guidance to estimate volume, cost, and velocity for your engagements, and surface where reality diverges from the estimate.
• Audit and Lineage: Implement audit best practices, lineage, controls, and reconciliation checkpoints as defined by the practice in every pipeline you deliver.
• Reverse-ETL Handshake: Build reverse-ETL pipelines, APIs, and data formats to complete the handshake with the target ERP or external system.
• Client Engagement: Work directly with customer data and technical contacts during delivery; communicate status, blockers, and data findings clearly.
• Practice Contribution: Contribute improvements, reusable components, and lessons learned back to the team's patterns and frameworks.

Skills

APIs, ETL, data, engineer, engineering, ingestion, pipelines