Job description

Job Title: Data Engineer Experience Required: 3–6+ years Overview We are seeking a skilled Data Engineer to design, build, and maintain robust cloud-based data pipelines and architectures. The ideal candidate will have hands-on experience working with Microsoft Fabric and the broader Azure data ecosystem. This role is focused on delivering reliable, high-quality data to power analytics, reporting, and operational use cases. Key Responsibilities Data Pipeline Development • Design, develop, and maintain scalable and efficient pipelines in Microsoft Fabric and Azure. • Implement ETL/ELT processes to integrate data from diverse sources. Architecture & Integration • Collaborate with data architects and analysts to deliver solutions aligned with business objectives. • Leverage Microsoft Fabric and Azure services to build integrated, cloud-native data platforms. Data Modeling & Warehousing • Develop data models to support reporting, analytics, and machine learning use cases. • Optimize data lakehouse/warehouse solutions for performance and cost-efficiency. Performance & Quality • Monitor, troubleshoot, and optimize pipelines for reliability, performance, and data quality. • Apply best practices in data governance, security, and compliance. Continuous Improvement • Evaluate new features and tools within Azure / Microsoft Fabric to improve efficiency. • Contribute to team knowledge-sharing and process improvements. Required Qualifications Professional Experience • 3–6+ years of experience in data engineering or related field. • Hands-on experience with Microsoft Fabric or Azure data platforms. Technical Skills • Strong SQL and data modeling skills. • Experience with ETL/ELT pipelines and orchestration (Azure Data Factory, Fabric pipelines, or similar). • Programming proficiency in Python and/or PySpark. • Familiarity with Azure Data Lake, Synapse, SQL DB, and Key Vault. • Exposure to NoSQL databases (e.g., MongoDB Atlas) is a plus. Soft Skills • Strong problem-solving and analytical mindset. • Effective communicator who can collaborate across teams. • Comfortable working in a fast-paced, cloud-first environment. Preferred Qualifications • Bachelor’s degree in Computer Science, Engineering, or related field. • Relevant Microsoft Azure certifications (e.g., Azure Data Engineer Associate). • Familiarity with DevOps practices, CI/CD, or containerization is a plus.

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