Job Details

Data Analytics Engineer at AGIMA for a digital platform project. Responsibilities include data modeling, pipeline quality, and business partnership. Requires 3+ years of experience, SQL, dbt, GitHub, and cloud data warehouses like Snowflake. Must be comfortable with US Eastern Time zone and have B2 English.

The project is a digital platform that provides manufacturers with the necessary resources for business growth and buyers with access to global manufacturing companies. We are looking for a Data Analytics Engineer who will be responsible for the level of data transformation and the creation of a "golden standard" of reporting in the company. You will work at the intersection of Data Engineering and Data Analytics, transforming raw data into clean, well-modeled datasets that will help the entire company make more effective decisions.

• 3+ years of experience in analytics, analytical engineering, or data engineering. • Proven experience in creating and supporting industrial data models, as well as transforming raw data into clean, workable datasets. • Proficient in writing complex and performant SQL queries for data transformation and analysis. • Practical experience with dbt for modeling and GitHub for version control. • Experience with cloud data warehouses such as Snowflake. • Experience building and supporting dashboards in tools like Looker, Tableau, or Power BI. • Experience implementing data quality tests and participating in CI/CD processes. • Ability to understand business metrics and translate stakeholder requirements into technical tasks. • Ability to clearly communicate technical concepts to non-technical stakeholders. • Comfortable working at a fast pace and managing multiple priorities simultaneously. Important condition: • Willingness to work in the US time zone (Eastern Time / GMT-5). • English: B2 or higher

Employment type: project-based (from 1 year), full-time. Work in the US Eastern Time zone (GMT-5).