Cloud Leader/ Jr Architect

• Lead data engineering squad to design, build, and optimize ETL pipelines; ensures quality and performance standards.
• Must have one Hetero/Homogeneous migration experience  
• Interact closely with Business Analysis team, ETL team and BI Reporting teams to ensure understanding of proper use of data architecture.
• Design, build, and maintain physical databases, dimensional data models, ETL layer design and data integration strategies.
• Deep understanding of data modelling, data warehousing, and data quality.
• Candidate should possess excellent problem solving abilities and data analysis
• Good written and verbal communication skills.

Prefrred Skills

• Should have skills and ability to engage in multiple initiatives simultaneously. 
• Able to analyse information and anticipate outcomes to choose the best solutions.
• Extensive knowledge and practical experience in defining Master Data Management strategies, implementing MDM services, Metadata Management, Data Governance, and Data Quality solutions.
• Familiarity with enterprise data integration technologies and methods, including ETL, data replication, and data services.

• Design and implement effective database solutions and models to meet clients’ requirements 
• Examine and identify database structural necessities by evaluating client operations applications, and programming. 
• Assess database implementation procedures to ensure they comply with internal and external regulations. 
• Install and organize information systems to guarantee company functionality. 
• Prepare accurate database design and architecture reports for management and executive teams 
• Oversee the migration of data from legacy systems to new solutions. 
• Monitor the system performance by performing regular tests, troubleshooting, and integrating new features. 
• Recommend solutions to improve new and existing database systems. 
• Develop high performance and scalable solutions using GCP that extract, transform, and load big data (ETL) 
• Educate team members through training and individual support. 
• Experienced in Modernizing legacy Data Warehouse with high-intensity Big data solutions 
• At least one Full life cycle project of a Real-time data ingestion project with any Cloud platform 
• Good to have an understanding of Google AI/ML services