Azure Data Engineer at QTech

Job Title: Azure Data Engineer Location: Irving TX Domain: Telecommunications Long Term Contract Looking for W2 Candidates. No C2C Job Description: Azure Data Engineer with strong development experience in Python and containerized environments. Youll be building modular ETL pipelines using APIs and SQL in an Azure-native setup with a strong focus on data governance secure service account usage and automation. This role is perfect for someone passionate about scalable architecture and responsible data practices. Key Responsibilities: Design and implement data ingestion pipelines using Python targeting JDBC/ODBC/API/Batch sources Create and orchestrate Apache Airflow DAGs using modular/factory-based patterns Build containerized solutions using Docker with local dev setups and AKS-based deployment strategies Work with SQL Server (MI)to extract metadata define classifications and manage access control Use Microsoft Purview for classification tagging and metadata management Configure and manage Azure resources(Blob Storage Key Vault Azure Monitor Functions AKS) Develop and deploy using CI/CD pipelines via Azure DevOps Apply access controls using service accounts adhering to minimum privilege principles and masking policies Analyze audit logs and build dashboards for usage tracking and masking compliance Write reusable code and documentation to support automation and knowledge transfer Qualifications: 5 years of hands-on experience in data engineering with Python development Strong in: Python(ETL scripting logging error handling) SQL development and performance tuning Azure ecosystem: AKS Blob Key Vault Service Principles Azure Monitor etc. REST APIs and ingestion from diverse sources Docker and container lifecycle management Service account management and data security enforcement Familiar with Terraform Git and modern CI/CD best practices Understanding of data governance PII/PCI classification and compliance (SOX GDPR etc.) Best Regards Tarun K Phone: 1- Email: Key Skills Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala Employment Type : Full Time Experience: years Vacancy: 1