Data & Automation Engineer

Database Design: Design and maintain relational databases (PostgreSQL) for internal reporting and client projects

Pipeline Development: Build and operate ETL/ELT pipelines in Python to ingest data from diverse sources - APIs, SFTP, cloud exports, and third-party systems

Data Integration: Connect and integrate multiple data sources into unified data platforms (e.g., ERP systems, CRMs, accounting tools)

SQL Optimization: Write and optimize complex SQL queries for data transformation and reporting use cases

Dashboard Support: Support dashboard backends for Power BI and custom reporting tools

• Finance Collaboration: Work closely with finance consultants to structure financial data and improve reporting efficiency