Data Engineer Position We are seeking a skilled Data Engineer to lead our data engineering efforts. The ideal candidate will have expertise in designing, building, and maintaining robust data pipelines. Key Responsibilities: Design and implement scalable data pipelines using Azure services. Develop and manage ETL processes to ingest, transform, and store data from various sources. Collaborate with stakeholders to understand data needs and translate them into technical solutions. Ensure data quality, security, and governance across data workflows. Monitor and optimize existing pipelines for performance and cost-efficiency. Participate in the design of data models and warehouses to support analytics. Required Skills and Qualifications: 5+ years of experience in data engineering roles. Proven expertise with Microsoft Azure data services. Proficiency in SQL, Python or Scala, and cloud-based ETL tools. Hands-on experience with tools like Azure Data Factory, Databricks, and Azure Storage. Strong knowledge of data modeling, warehousing, and architecture. Understanding of CI/CD practices and Version Control. Nice to Have: Experience with DevOps or infrastructure as code. Knowledge of data governance frameworks. Familiarity with reporting tools.