Job Title: Azure Data Engineer 

Role Description

We are seeking an experienced Azure Data Engineer with strong hands‑on expertise in Azure data services, ETL development, and troubleshooting production issues. The ideal candidate will support small enhancements, resolve issues related to Quadient templates and output, collaborate with QA teams, and contribute to high‑quality, scalable data solutions.

Key Responsibilities

• Work on small enhancements and incremental feature updates

• Troubleshoot and resolve issues related to Quadient templates and output

• Participate in code reviews and provide guidance to junior team members

• Collaborate closely with QA teams to ensure quality, performance, and reliability of deliverables

• Design, develop, and optimize data pipelines using Azure and Databricks

• Implement monitoring and logging using Azure Monitor, Log Analytics, and Databricks logs

• Work with senior architects to align on solution and architectural decisions

• Ensure adherence to development standards, security, and compliance best practices

Required Skills (Essential)

• Azure (ADLS, ADF, Azure SQL, ASP)

• Databricks

• PySpark

• Python

• ETL Development

• SQL

Additional Knowledge (Good to Have)

• Monitoring tools: Azure Monitor, Log Analytics, Databricks logs

• SALT

• TigerGraph

• ML / LLM Agentic frameworks

Desirable Skills

• Experience working with Quadient templates

• Familiarity with Agile delivery practices

• Strong debugging and performance‑tuning skills

Keywords

Azure, Databricks, PySpark, Python, ETL, SQL, ADLS, ADF, Azure SQL, Quadient, Monitoring, TigerGraph

Skills Category

Digital: Microsoft Azure Digital: PySpark

Experience Required

6–8 Years