Data Architect

2 days ago

Remote, India Citta Solutions Full time

Citta was founded in 2009 with a mission to succeed by helping our clients succeed. Citta's mission is to create effective and cutting-edge solutions, helping clients maximize their reach online and offline. Citta believes in staying relevant by continuously evolving itself to reach the highest level of excellence. Our solutions are one of the most advanced and pertinent ERP Systems across the globe. We have expertise in providing all kinds of Consultancy, Technology & Outsourcing Services with a proven track record. We have more than 1500+ satisfied clients worldwide who are using our services and have upgraded their business effectively and efficiently with us. We also provide customized tailored solutions catering to specific requirements and client needs.
- Worked on Graph based data models
- Working on multi-cluster postgres architectures
- Experience with building data platform on cloud (Microsoft Azure Data Lake, Data Warehouse environment, Azure Databricks, Postgres)
- Expert in SQL writing in SQL Server/SQL Azure Data Warehouse
- Experience with Microsoft Azure/SQL Server and ideally Azure Data Warehouse environment
- Strong technical understanding of data modelling, design and architecture principles and techniques across master data, transaction data and derived/analytic data
- Understanding of advance analytics needs such as Predictive/Cognitive Analytics concepts
- Proven background of designing and implementing architectural solutions which solve strategic and tactical business needs
- Deep knowledge of best practices through relevant experience across data-related disciplines and technologies, particularly for enterprise-wide data architectures, data management, data governance and data warehousing Highly competent with relational database design and structured query language (SQL)
- Highly competent with data modelling
- Strong troubleshooting and problem solving skills in large data environment
- Lead the database analysis, design, and build effort
- Ensure that the database designs fulfill the requirements, including data volume, frequency needs, and long-term data growth

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