Job Summary

Sr Developer role in a hybrid work model focusing on end to end data engineering solutions using Amazon S3 Python and Snowflake SQL for a global enterprise. The role designs optimizes and maintains robust data pipelines and platforms that enable secure scalable and reliable analytics capabilities for business stakeholders while ensuring best practices and continuous improvement in a day shift workplace.

Responsibilities

Design and implement scalable data ingestion pipelines using Amazon S3 to reliably collect organize and store large volumes of structured and semi structured data for enterprise analytics needs.
Develop robust Python applications and scripts that automate data processing workflows improve system efficiency and reduce manual effort for business and technology teams.
Build optimize and maintain Snowflake SQL data models including views tables and stored procedures to support high performance reporting and advanced analytical use cases.




Collaborate with product owners business analysts and data consumers to translate complex functional requirements into clear technical designs and implementation plans that align with organizational objectives.
Perform detailed performance tuning for Python code Snowflake SQL queries and Amazon S3 data access patterns to consistently achieve low latency and high throughput across critical workloads.
Implement and maintain rigorous data quality checks reconciliation routines and validation frameworks to ensure that all data assets stored in Amazon S3 and Snowflake remain accurate complete and trustworthy.
Apply secure coding and data protection practices in Python Snowflake SQL and Amazon S3 configurations to safeguard sensitive information and support compliance with internal policies and external regulations.
Troubleshoot complex production issues across data pipelines storage layers and processing jobs using systematic root cause analysis and implement durable fixes that prevent recurrence and downtime

📌 Sr. Developer (India)
🏢 Cognizant
📍 India