TL;DR

Data Engineer: Supporting the Finance department by building and maintaining data pipelines, developing dashboards, and delivering scheduled reports with an accent on ETL processes and Power BI. Focus on transforming data into actionable insights and ensuring data accuracy across reports.

Location: Hybrid

Company

%hirify_global% is a digital engineering and modernization partner to enterprises and digital native companies, offering technology practices including Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.

What you will do

Design, build, and maintain data pipelines to support reporting and analytics needs.
Develop and automate Power BI dashboards and Excel-based reports using Macros.
Collaborate with Finance stakeholders to understand reporting requirements and deliver custom reports.
Implement scheduled data refreshes and ensure data accuracy and consistency across reports.
Optimize ETL processes for performance and scalability.

Requirements

2–4 years of experience in a data engineering or business intelligence role.
Proficiency in Power BI (including DAX and Power Query).
Strong knowledge of ETL tools and processes.
Experience with Excel Macros (VBA) for automation.
Familiarity with SQL and data modeling concepts.
Excellent problem-solving, communication, and documentation skills.

Nice to have

Experience working with financial data.
Knowledge of cloud-based data platforms (e.g., Azure Data Factory, AWS Glue).

Culture & Benefits

Hiring professionals based solely on their skills and qualifications.
Do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.