Roles Responsibilities Data Engineering Excellence Design and implement data pipelines using formats like JSON Parquet CSV and ORC utilizing batch and streaming ingestion Cloud Data Migration Leadership Lead cloud migration projects developing scalable Spark pipelines Medallion Architecture Implement Bronze Silver and gold tables for scalable data systems Spark Code Optimization Optimize Spark code to ensure efficient cloud migration Data Modeling Develop and maintain data models with strong governance practices Data Cataloging Quality Implement cataloging strategies with Unity Catalog to maintain high-quality data Delta Live Table Leadership Lead the design and implementation of Delta Live Tables DLT pipelines for secure tamper-resistant data management Customer Collaboration Collaborate with clients to optimize cloud migrations and ensure best practices in design and governance Educational Qualifications Experience Minimum 5 years of hands-on experience in data engineering with a proven track record in complex pipeline development and cloud-based data migration projects Education Bachelor s or higher degree in Computer Science Data Engineering or a related field Skills Must-have Proficiency in Spark SQL Python and other relevant data processing technologies Strong knowledge of Databricks and its components including Delta Live Table DLT pipeline implementations Expertise in on-premises to cloud Spark code optimization and Medallion Architecture Positive to Have Familiarity with AWS services experience with additional cloud platforms like GCP or Azure is a plus Soft Skills Excellent communication and collaboration skills with the ability to work effectively with clients and internal teams Certifications AWS GCP Azure Data Engineer Certification Job Types Full-time Permanent Work Location In person

📌 Senior Data Engineer- Aws (Maharashtra)
🏢 hirezy
📍 Maharashtra