Design and build SQL‑centric, relational data pipelines that aggregate and clean data from multiple sources (DB2, Dynamics AX, Progress OpenEdge, Oracle, Salesforce, etc.)
Develop, optimize and maintain complex SQL‑based relational models s in PostgreSQL
Orchestrate and automate SQL‑driven transformations using Airflow and Python
Deploy and maintain analytics infrastructure across Dev / Test / Prod Linux environments
Design and publish Power BI datasets and dashboards using DAX and SQL
Partner with process owners and business leads to define metrics and improve data quality
Document data flows and automation logic to ensure maintainability and transparency
Troubleshoot performance and data issues across systems and environments

Bachelor’s degree in Data Engineering, Business Information Systems, or related field
3+ years hands on experience building and maintaining data pipelines or ETL jobs
Experience with PostgreSQL (preferred) or other RDBMS
Advanced SQL proficiency with hands‑on experience transforming data in relational databases (PostgreSQL strongly preferred)
Familiarity with Linux / Red Hat environments and version control (Git)
Understanding of ERP, CRM, and MRP data models (Dynamics, Salesforce, etc.)
Experience with Power BI or similar BI tools (DAX, data modeling)

Data Engineer – Business Automation, Analytics

Key skills