Senior Data Engineer
6 days ago
Description : 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 : Bachelors or higher degree in Computer Science, Data Engineering, or a related field.- Skills : i. 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.Good to Have : - Familiarity with AWS services (experience with additional cloud platforms like GCP or Azure is a plus).- Soft Skills : i. Excellent communication and collaboration skills, with the ability to work effectively with clients and internal teams.- Certifications: i. AWS/GCP/Azure Data Engineer Certification. (ref:hirist.tech)
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