Data Integration Engineer

Trissential is a trusted partner for end-to-end quality services and management consulting.

As a part of our parent company Expleo, we have a footprint in 30+ countries.

Our Mission is to have a positive impact on every person who interacts with Trissential.

Clients love us because we are service focused.

Employees love us because they are valued and cared for.

Trissential is seeking a Data Integration Engineer to join our client team remotely.

The ideal candidate is highly creative and collaborative, with a strong ability to design, build, and manage data pipelines.

They should have extensive experience in working with large, heterogeneous datasets and a passion for automating data processes to improve productivity and minimize errors.

The candidate should also excel in providing strategic advice and guidance to various stakeholders.

This role is open only to candidates authorized to work and reside in the US.

• Build, create, maintain, and optimize data pipelines from development to production for various use cases
• Drive automation through effective metadata management, utilizing innovative tools and techniques to automate common, repeatable, and tedious data preparation and integration tasks
• Utilize modern data preparation, integration, and AI-enabled metadata management tools and techniques, including tracking data consumption patterns, performing intelligent sampling and caching, monitoring schema changes, and recommending or automating integration flows
• Propose appropriate and innovative data ingestion, preparation, integration, and operationalization techniques to optimally address data requirements
• Train counterparts, such as data scientists, data analysts, and other data consumers, in data pipelining and preparation techniques to facilitate easier data integration and consumption
• Ensure responsible data usage through data governance and compliance initiatives, providing knowledge transfer to data users and consumers
• Collaborate closely with business and IT teams to understand and refine requirements, ensuring data deliverables meet strategic goals
• Strong experience with various Data Management architectures such as Data Warehouse, Data Lake, Data Hub, and supporting processes like Data Integration, Governance, and Metadata Management
• Proven ability to design, build, and manage data pipelines encompassing data transformation, data models, schemas, metadata, and workload management