Data Engineer with Semantic Data Modeling

Position:- Data Engineer with Semantic Data Modeling

Location: Remote

Job Type: Contract

Duration: 12 Months with possible extension

Mandatory Skills:

Hands-on experience with AWS, specifically in implementing Data Zone and related services.

Hands-on experience with any ontology tools such as dbt Labs, QuickSight, AtScale, or DataWalk.

Utilize AWS services, particularly Data Zone, to build and manage data pipelines and semantic layers.

Leverage ontology tools such as dbt products, QuickSight, AtScale, and DataWalk to enhance data visualization and reporting capabilities.

Develop and maintain a metric store with knowledge graph capabilities to ensure data quality and enable data lineage as part of data governance.

Basic Qualifications (Required Skills/Experience):

8+ years of experience as a data engineer. Strong understanding of Semantic Modeling, Data Products, and datalake.

Proven experience in data modeling, particularly for semantic layers in a business-facing role.

Strong understanding of data products and their applications within a data lake house architecture.

Experience in developing a metric store with knowledge graph capabilities to enhance data quality and lineage.

Excellent communication skills, with the ability to convey complex data concepts to non-technical stakeholders.