Experience Range: - 05 To 10 Years (Mandatory)
Date of Interview: 22nd August 2026 (Saturday)
Mode of Interview: Face to Face Walk In Interview
Interview Time: 9:30am to 1pm
Job Location: Chennai, Anywhere in India
(Note: Candidates below 5 years of IT experience shall not be considered)
JOB DESCRIPTION
Must Have Skills:
- Knowledge of SQL language and cloud-based technologies
- Data warehousing concepts, data modelling, metadata management
- 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
- Snowflake warehousing, architecture, processing, administration (must )
- Data ingestion into Snowflake (must)
- Enterprise-level technical exposure to Snowflake applications
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 enhancementMaintenance 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
15 years of Full Time Education