Data Analytics Engineer/Architect - Pipelines & Insights

Infopro Digital; Nashville (TN); Ibrido; USD 120.000 - 180.000; Tempo pieno

Vantaggi offerti da questo lavoro

Vacation days 20-25

Sick days 5

Holidays 11

Health insurance

401(k) match

FSA

Disability insurance

EAP

Flexible working

Gym membership

Referral program

Descrizione del lavoro

Infopro Digital Automotive in Nashville seeks a Data Analytics Engineer/Architect to shape scalable data models and transformation pipelines, enabling reliable business insights and advanced analytics through high-quality, well-structured data.

You will design and optimise data pipelines, implement dimensional modeling (star schemas), Data Vault 2.0 and Anchor Modeling in a unified environment, and define reusable KPIs and semantic layers for BI and ML use cases.

Competenze

• Proven expertise in SQL data transformations and performance optimisation.
• Strong knowledge of dimensional modeling, Data Vault 2.0 and Anchor Modeling.
• Experience building semantic layers for BI and analytics.
• Fluent English and ability to collaborate with US/European teams.

Mansioni

• Design, build, and optimise scalable data pipelines with a focus on SQL performance.
• Develop and evolve data models (dimensional, DV2.0, Anchor) for reliable analytics.
• Define and maintain business entities, KPIs, and metric logic as reusable assets.
• Collaborate with stakeholders to translate requirements into data models, ensuring single source of truth.
• Work with Snowflake/Databricks and Git-based workflows; code reviews and best practices.

Conoscenze

SQL

Python

Dimensional modeling

Data Vault 2.0

Anchor Modeling

Semantic layers

Data quality

Stakeholder comms

Strumenti

Snowflake

Databricks

dbt

Power BI

Git

Azure DevOps

YAML

Python tooling

Descrizione del lavoro

Infopro Digital Automotive in Nashville seeks a Data Analytics Engineer/Architect to shape scalable data models and transformation pipelines, enabling reliable business insights and advanced analytics through high-quality, well-structured data.

You will design and optimise data pipelines, implement dimensional modeling (star schemas), Data Vault 2.0 and Anchor Modeling in a unified environment, and define reusable KPIs and semantic layers for BI and ML use cases.