Must Have Skills:

- Knowledge of SQL language and cloud-based technologies

- Data warehousing concepts, data modelling, metadata management

- Data lakes, multi-dimensional models, data dictionaries

- Migration to AWS Snowflake platform and Knowledge in S3 buckets

- Performance tuning and setting up resource monitors

- Snowflake modelling roles, databases, schemas (Hands on must)

- SQL performance measuring, query tuning, and database tuning

- ETL tools with cloud-driven skills

- Integration with third-party tools

- Ability to build analytical solutions and models

- Coding in languages Python,

- Root cause analysis of models with solutions

- Hadoop, Spark, and other warehousing tools

- Managing sets of XML, JSON, and CSV from disparate sources

- SQL-based databases like Oracle SQL Server, Teradata, etc.

- Snowflake warehousing, architecture, processing, administration (must )

- Data ingestion into Snowflake (must)

- Enterprise-level technical exposure to Snowflake applications

Positive to Have Skills: Java, JavaScript, Project management, Testing and test case preparation abilities

Responsibilities or Expectations from the Role:

- Create, test, and implement enterprise-level apps with Snowflake

- Design and implement features for identity and access management

- Create authorization frameworks for better access control

- Migration of Data from ON prem DB like Oracl,DB2 to Snowflake





- Implement novel query optimization, major security competencies with encryption

- Solve performance issues and scalability issues in the system

- Transaction management with distributed data processing algorithms

- Possess ownership right from start to finish

- Build, monitor, and optimize ETL and ELT processes with data models

- Migrate solutions from on-premises setup to cloud-based platforms

- Understand and implement the latest delivery approaches based on data architecture

- Project documentation and tracking based on understanding user requirements

- Perform data integration with third-party tools including architecting, designing, coding, and testing phases

- Manage documentation of data models, architecture, and maintenance processes

- Continually review and audit data models for enhancement

- Maintenance of ideal data pipeline based on ETL tools

- Coordination with BI experts and analysts for customized data models and integration

- Code updates, new code development, and reverse engineering

- Performance tuning, user acceptance training, application support

- Maintain confidentiality of data

- Risk assessment, management, and mitigation plans

- Regular engagement with teams for status reporting and routine activities

- Migration activities from one database to another or on-premises to cloud

📌 Walk-in || Snowflake Developer with DBT_ Chennai_ Walk IN (Chennai)
🏢 Tata Consultancy Services
📍 Chennai