Vacancy description
ganit inc.
India, Bengaluru
Senior Data Engineer - AWS in Bengaluru, India is listed on Jobeax. Browse 30,000+ vacancies available.
Job Title: Senior Data Engineer
At Ganit , we are not just data geeks – we are a family of scientists, refiners, and artisans. Our mission is to bridge the gap between intelligence and action, translating data into valuable insights and strategies. We work with businesses to create state-of-the-art solutions that push the boundaries of data science.
Incorporated in 2017, Ganit was founded by professionals with vast experience in consulting, analytics, marketing, merchandise, operations, and https://jobeax.com/link/mYvMZkpRFRzMWb6X company culture revolves around maximizing decision velocity and minimizing decision risk for enterprises ambitious enough to make data their voice.
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.
Implement Bronze, Silver, and gold tables for scalable data systems.
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.
Lead the design and implementation of Delta Live Tables (DLT) pipelines for secure, tamper-resistant data management.
Collaborate with clients to optimize cloud migrations and ensure best practices in design and governance.
Experience : Minimum 6 years of hands-on experience in data engineering, with a proven track record in complex pipeline development and cloud-based data migration projects.
Bachelor’s or higher degree in Computer Science, Data Engineering, or a related field.
Skills : Proficiency in Spark, SQL, Python, and other relevant data processing technologies.
Expertise in on-premises to cloud Spark code optimization and Medallion Architecture.
Strong knowledge of Databricks and its components, including Delta Live Table (DLT) pipeline implementations.
Familiarity with AWS services (experience with additional cloud platforms like GCP or Azure is a plus).
AWS/GCP/Azure Data Engineer Certification.
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