This role is for a senior developer with seven to nine years of experience focused on data engineering and cloud based storage using Amazon S3 and Snowflake. The position involves building reliable data ingestion pipelines managing Snowflake tasks and streams and optimizing Snowflake SQL for analytics. The role operates in a hybrid work model during day shifts with no travel requirements supporting efficient and secure data driven outcomes.
Responsibilities
Design and implement robust data pipelines that ingest structured and semi structured data into Amazon S3 and Snowflake environments to enable reliable analytics for business stakeholders.
Develop and manage automated Snowflake tasks that orchestrate data loading scheduling and monitoring to ensure timely availability of curated datasets.
Configure and maintain Snowflake streams to capture change data and support near real time data processing for critical reporting and downstream applications.
Write optimize and refactor complex Snowflake SQL queries to improve performance resource usage and accuracy across large scale datasets.
Build and operate Snowpipe based ingestion flows that deliver continuous data loading from Amazon S3 and other sources while maintaining data quality and integrity.
Collaborate with data architects analysts and product teams to translate business requirements into scalable technical solutions within Snowflake and Amazon S3.
Implement robust governance practices for data access security and compliance across Snowflake and Amazon S3 ensuring that data usage aligns with organizational standards.
Troubleshoot and resolve production issues related to Snowflake tasks streams Snowpipe jobs and SQL logic providing timely fixes and preventive improvements.
Document data models pipeline designs and operational procedures in clear technical artifacts to support maintainability knowledge sharing and onboarding.
Perform capacity analysis and tuning activities within Snowflake to manage
📌 Sr. Developer (Chennai)
🏢 Cognizant
📍 Chennai
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