Min 6 years of IT experience, including experience in designing Azure data platform with large scale implementation experience.
Minimum 4 years of experience in Azure cloud technology & Data Modelling
Hands on experience developing enterprise solutions using designing and building frameworks, enterprise patterns, database design, data modelling and development in Azure (Azure data factory for ingestion, Data lake gen 2 and Azure SQL server for storage, Azure analysis service for transformations, Azure databricks) Strong experience in spark, Python, Pyspark ETL
Strong hands on experience in Databricks and ADF Knowledge of any data governance tool and validate the existing quality of metadata catalog is an added advantage
Hands on experience in SQL, SSIS, Stored Procedures, functions, etc Exposure to Frameworks, reusable components, accelerators, CICD automation
Strong experience in data analysis, profiling and data modelling. This should include use of modern technologies, methodologies, patterns and industry standards
Experience consulting and implementing data governance and data quality management
Strong analytical and quantitative problem solving ability
Ability to profile data, assess data quality in the context of business rules, and incorporate validation and certification mechanism to ensure data quality.
Excellent presentation, written and verbal communication skills required.
Collaborate with Scrum Master and PMO to organize deliverables into phases and sprints; drive estimation and sizing, contribute actively to planning and scheduling the solution implementation.
Strong interpersonal and communication skills ability to tell a clear, concise, actionable story with data, to folks across various levels of the company.
Technically mentoring the team, planning and tracking their tasks.