Data Engineer

About the Role We are looking for a motivated and detail-oriented Data Engineer with 3–4 years of experience in data engineering and analytics solutions. The ideal candidate should have hands-on experience with Microsoft Fabric, strong PySpark skills, and a foundational understanding of Databricks. The candidate should be eager to learn, adaptable to new technologies, and passionate about building scalable data solutions. Key Responsibilities Design, develop, and maintain data pipelines using Microsoft Fabric. Build and optimize ETL/ELT processes for ingesting, transforming, and loading data from multiple sources. Develop and maintain data transformation workflows using PySpark. Work with Lakehouse, Data Warehouse, and Data Factory components within Microsoft Fabric. Collaborate with business stakeholders, analysts, and data teams to understand data requirements. Ensure data quality, consistency, and reliability across data platforms. Monitor and troubleshoot data pipeline performance and resolve issues proactively. Support data modeling and reporting requirements for analytics and business intelligence initiatives. Participate in code reviews, testing, and deployment activities. Stay updated with emerging technologies and best practices in data engineering. Required Skills 3–4 years of experience in Data Engineering or related roles. Hands-on experience with Microsoft Fabric (Data Factory, Lakehouse, Data Warehouse, Notebooks, etc.). Strong proficiency in PySpark for data processing and transformation. Good understanding of ETL/ELT concepts and data pipeline development. Experience working with SQL and relational databases. Basic understanding of Databricks and Spark ecosystem. Familiarity with data lakes and modern cloud-based data architectures. Knowledge of data quality, performance tuning, and optimization techniques. Experience with version control tools such as Git. Preferred Skills Exposure to Azure Data Services. Understanding of Delta Lake concepts. Experience with Power BI integration and reporting. Knowledge of CI/CD practices for data engineering projects. Familiarity with Agile/Scrum methodologies. Educational Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. Desired Candidate Profile Strong analytical and problem-solving skills. Eagerness to learn and work on new technologies. Good communication and stakeholder management skills. Self-motivated, proactive, and a strong team player. Ability to work in a fast-paced and collaborative environment. Nice to Have Microsoft Fabric certifications. Exposure to cloud platforms such as Microsoft Azure. Basic experience with Databricks notebooks and workflows.