Job Summary

Serve as a senior developer specializing in Azure data platforms and Snowflake to design build and optimize scalable data solutions in a hybrid work workplace. Apply deep expertise in Azure Data Lake Store Azure Data Factory Python and Snowflake features to deliver secure high quality data products that empower analytics and strategic decision making for global stakeholders.

Responsibilities

Design robust batch and near real time data ingestion pipelines using Azure Data Factory to integrate diverse enterprise data sources into Azure Data Lake Store and Snowflake in a secure and scalable manner.
Develop efficient data models and curated layers in Snowflake using advanced Snowflake SQL features to support analytics ready structures and trusted business reporting across multiple domains.
Implement modular reusable Python components and utilities that automate data transformations validations and orchestration logic to reduce manual effort and improve overall pipeline reliability.




Optimize performance of Azure Data Lake Store and Snowflake workloads through tuning of queries storage patterns and resource configurations to meet strict service level objectives for critical data processes.
Configure and manage Snowflake Tasks and related scheduling capabilities to orchestrate complex dependency chains and ensure timely execution of data refresh cycles for downstream consumers.
Apply Snowflake Cortex capabilities and other advanced data services to deliver intelligent data products that unlock deeper insights and accelerate data driven decision making for business teams.
Create comprehensive technical design documents and maintain up to date data flow diagrams to provide clear traceability from source systems through Azure and Snowflake layers to final consumable outputs.
Collaborate closely with data architects business analysts and product teams to translate analytical requirements into detailed technical solutions that align with enterprise data standar

📌 Sr. Developer (Chennai)
🏢 Cognizant
📍 Chennai