
Senior Data Engineering Analyst
- Bangalore, Karnataka
- Permanent
- Full-time
- Creating ETL pipelines using Azure Databricks
- Creating the AI Agents using any of the LLMs to enable business to get the insights into the data
- Usage of the Gen AI tools such as GitHub Co-pilot, Databricks AI Assistant, AI/BI Genie to accelerate the development
- Analysis of the Requirements and working with Analyst for any clarification
- Optimizations of the ETL pipelines to reduce the total $ spend on Azure compute and storage
- Addressing all the Critical and High Security vulnerabilities on time
- Application monitoring
- Incident resolution
- Stakeholder management
- Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
- B.E/B.Tech
- Knowledge of Azure Databricks
- Knowledge of Snowflake