Database - Senior Engineer @ Iris Software

Role Summary

• We are seeking an experienced DBT Developer / Analytics Engineer to design, build, and maintain scalable data transformation pipelines
• The ideal candidate will have strong expertise in dbt, SQL, and cloud-based data platforms, with exposure to orchestration, automation, and DevOps practices
• This role involves close collaboration with data engineers, analysts, and platform teams to deliver reliable and high-quality analytics solutions
• Key Responsibilities Design, develop, and maintain dbt models for data transformation and analytics use cases Implement reusable, well-documented, and tested dbt projects using Jinja templating
• Work with PostgreSQL or similar relational databases to design and optimize data models Deploy and support data solutions on Azure cloud, including containerized environments on AKS Manage and monitor scheduled workflows and batch
• jobs using tools such as Control-M Write and maintain Shell scripts and Python scripts for automation and operational tasks Collaborate with DevOps and platform teams on CI/CD, deployment, and version control Troubleshoot data pipeline issues and ensure data quality, performance, and reliability Participate in code reviews, documentation, and best-practice standardization

Required/Core Skills:

• Strong hands-on experience with dbt (Data Build Tool) Proficiency in SQL and data modeling concepts Experience using Jinja for dbt macros, models, and configurations Hands-on experience with PostgreSQL Good experience with Python for data processing or automation Familiarity with GIT for version control and collaborative development
• Working knowledge of Linux environments Experience working on Azure cloud, including exposure to AKS (Azure Kubernetes Service)Good to Have Experience with job scheduling tools such as Control-M Strong Shell scripting skills for automation and support
• Exposure to database versioning and migration tools like Flyway Familiarity with artifact repositories such as Artifactory Experience with CI/CD pipelines for data platforms Exposure to large-scale data warehousing or analytics platforms

Soft Skills

Strong analytical and problem-solving abilities Ability to work independently and manage priorities effectively Good communication skills for collaborating with technical and non-technical stakeholders Attention to detail and a strong focus on data quality