Description
Inforce is a Software Development Company that provides a full range of top-quality IT services. Our mission is to develop first-class applications and Websites to provide our clients with the best solutions for maximizing their profits and converting their ideas into reality. Why This Role Excites You Build the Future of Data: Become one of the engineers shaping our Data Engineering direction and work on modern analytics and data platform solutions.
Work on real-world data pipelines feeding business-critical analytics. Key
Responsibilities
Build and maintain ETL/ELT pipelines in Python. Write and optimize SQL queries for data transformation and reporting. Extract data from ERP/CRM systems, REST APIs and client databases into our data warehouse.
Implement data quality checks: schema validation, tests, alerting. Prepare data marts for BI dashboards (Metabase, Looker, Grafana). Work with orchestration tools (Airflow, Dagster) under senior guidance.
Create and maintain technical documentation. Collaborate with Backend, ERP and Analytics teams. What We're Looking For Solid Python fundamentals: functions, classes, working with files and APIs, basic pandas.
Strong SQL: joins, aggregations, window functions, basic query optimization — this is the core skill we test. Understanding of what ETL is and why a data warehouse exists. Git: branching, pull requests, working in a shared codebase.
Ability to explain your technical decisions, not just write code that runs. Willingness to learn
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