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We are looking for an experienced Senior Data Engineer to design, build, and operate scalable cloud-based data solutions supporting analytical and business-critical use cases.
Job Responsibility:
Pipeline Development: Design, implement, and maintain scalable data pipelines and transformation workflows
Data Modeling: Develop and manage analytical data models using SQL-based frameworks, translating business requirements into structured data
Quality & Performance: Ensure high data quality, reliability, and performance across all production environments
DevOps Integration: Implement version control, CI/CD, and automated testing for data workloads
Collaboration: Work closely with BI and engineering teams to optimize the entire data lifecycle
Maintenance: Monitor, troubleshoot, and document data models and engineering standards
Requirements:
Python: Solid programming skills for data processing and automation
Azure Data Factory: Experience building and managing cloud orchestration
Microsoft SQL Server (MSSQL): Advanced SQL skills and complex data transformation experience
Azure Cloud: Hands-on experience within the Azure ecosystem and modern data architectures
Nice to have:
Azure Synapse Analytics
Databricks (Spark-based processing)
Experience with dbt or equivalent SQL-centric transformation tools
Familiarity with Infrastructure-as-Code (IaC) and automated provisioning