We are seeking a Senior Data Engineer to design, build, and maintain scalable, modular, and cost-effective data pipelines and products in the Microsoft Azure ecosystem. The role involves collaborating with cross-functional teams to deliver high-quality, automated data solutions that support our data architecture and analytics initiatives.

Key Responsibilities:

• Design, develop, and maintain ETL processes and data pipelines using Azure Data Factory, Azure Synapse, Azure Databricks, and Azure Fabric.
• Organize and manage data pipeline outputs using Azure Data Lake Storage Gen2 and Azure Blob Storage.
• Collaborate with data scientists, analysts, and architects to understand requirements and deliver robust data solutions.
• Optimize pipelines for performance, scalability, and reliability.
• Ensure data quality and integrity through validation and monitoring.
• Document data processes, configurations, and best practices.
• Manage CI/CD deployment processes for data solutions and troubleshoot pipeline issues.
• Stay updated on industry trends and emerging data technologies.

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
• 7+ years of experience as a Data Engineer or in similar data/ETL roles.
• Strong expertise in Microsoft Azure services (Data Factory, Synapse, Databricks, Blob Storage, Data Lake Gen2).
• Proficient in SQL and working with modern RDBMS (e.g., SQL Server, PostgreSQL).
• Solid understanding of software engineering principles applied to data engineering (CI/CD, version control, testing).
• Experience with big data technologies (e.g., Spark).
• Excellent problem-solving, communication, and collaboration skills.