Expert knowledge in Database like Oracle, PostgreSQL (preferably cloud hosted), any cloud based Data Warehouse (like Snowflake) with strong programming experience in SQL.
Programming language experience in Golang, Python, shell scripts is desirable.
Deep knowledge of databases, stored procedures, optimization of large data sets.
In-depth knowledge of ingestion techniques, data cleaning, de-dupe, partitioning.
Experience with building the infrastructure required for data ingestion and analytics
Solid understanding of normalization and denormalization of data, database exception handling, transactions, profiling queries, performance counters, debugging, database & query optimization techniques
Understanding of index design and performance-tuning techniques
Familiarity with SQL security techniques such as data encryption at the column level, signed stored procedures, and assignment of user permissions
Experience in understanding the source data from various platforms and mapping them into Entity Relationship Models (ER) for data integration and reporting
Adhere to standards for all database e.g., Data Models, Data Architecture and Naming Conventions
Exposure to Source control like GIT, Azure DevOps
Understanding of Agile methodologies (Scrum)
Understanding of data modelling techniques and working knowledge with OLTP and OLAP systems
Experience with CI/CD automation tools (desirable)