Architect

Requirements

• Mandatory Skills:
• Azure SQL, Azure Data Factory, Azure Data Lake, Azure Data bricks, Azure Synapse, T-SQL, DBT, Snowflake, BigQuery, Data bricks, ETL/ELT, PySpark, Data Modeling, Data Warehousing, Data Analytics, Data Visualization, Power BI, Tableau, Agile Scrum, IT Service Management, Client Services, and Techno-Functional Management.
• Data base Management : Proficiency in SQL and NoSQL data bases, understanding data base structure principles, and experience with data base design and implementation.
• Data Modeling : Ability to create and manage data models, including conceptual, logical, and physical models.
• Data Integration : Skills in integrating data from various sources, ensuring data consistency and quality.
• Data Warehousing : Knowledge of data warehousing concepts and experience with data warehousing solutions.
• Data Governance : Understanding of data governance principles, including data quality management, data stewardship, and compliance with regulations.
• Cloud Services : Experience with cloud platforms such as AWS, Azure, or Google Cloud, and familiarity with cloud-based data solutions.
• Data Visualization : Proficiency with data visualization tools like Tableau, Power BI, or similar, to present data insights effectively.
• Programming Languages : Knowledge of programming languages such as Python, R, or Java, which are often used in data processing and analysis.
• Analytical Skills : Strong analytical and problem-solving skills to interpret complex data and provide actionable insights.
• Communication Skills : Excellent communication skills to convey technical information to non-technical stakeholders and collaborate with various teams.
• Project Management : Ability to manage projects, prioritize tasks, and meet deadlines.
• Leadership : Strong leadership skills to guide and mentor team members and drive data initiatives.