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Experience
5-6 years of overall experience in data engineering, analytics engineering, or data platform development, with strong hands-on experience using dbt.
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
Perks and Benefits for Irisians
Iris provides world-class benefits for a personalized employee experience. These benefits are designed to support financial, health and well-being needs of Irisians for a holistic professional and personal growth. Click to view the benefits.
A strategic partner that transformational leaders can trust to realize the full potential of technology-enabled transformation.As a trusted technology partner, we focus our highly-experienced talent and rightsized teams to develop complex, mission-critical applications and solutions for leading enterprise across financial services, life sciences, including pharmaceutical, CROs and medical devices, manufacturing & logistics and educational services.
Job ID: 145790249
Skills:
Git, Linux, PostgreSQL, Azure, Sql, Python, Jinja, dbt, AKS, Control-M
Skills:
Azure, Sql, Python, Git, PostgreSQL, Linux, AKS, dbt, Jinja, Control-M
Skills:
Terraform, Cloudformation, PowerShell, Iam, SQL Server, Hipaa, Python, AWS, TDE, SOC2
Skills:
pgadmin , REST, Sql, Soap, Microservices, Grafana, Prometheus, Kubernetes, Docker, Jenkins, PostgreSQL, Azure DevOps, DBeaver, GitLab CI, PL pgSQL, DataGrip, ORM integration
Skills:
PostgreSQL, Redis, Mongodb, Microservices, API interactions
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