Amazon Web Services (AWS)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.
Good 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.
Shubham Vishwakarma
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About Ganit Business Solutions
About
Ganit Inc. is in the business of enhancing the Decision Making Power (DMP) of businesses by offering solutions that lie at the crossroads of discovery-based artificial intelligence, hypothesis-based analytics, and the Internet of Things (IoT).
The company's offerings consist of a functioning product suite and a bespoke service offering as its solutions. The goal is to integrate these solutions into the core of their client's decision-making processes as seamlessly as possible. Customers in the FMCG/CPG, Retail, Logistics, Hospitality, Media, Insurance, and Banking sectors are served by Ganit's offices in both India and the United States. The company views data as a strategic resource that may assist other businesses in achieving growth in both their top and bottom lines of business. We build and implement AI and ML solutions that are purpose-built for certain sectors to increase decision velocity and decrease decision risk.
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