Serve as a senior developer within a hybrid work model designing and implementing robust data solutions using Snowflake Snowpark Azure Functions Azure Data Factory and Python. Collaborate with cross functional teams to build secure scalable and productive data pipelines that enable reliable analytics improve business decision making and support the company mission to deliver impactful digital products for global clients.
Responsibilities
Design and implement scalable Snowpark based data processing solutions that efficiently transform and enrich large volumes of structured and semi structured data for analytics consumption
Develop and optimize Snowflake SQL queries stored procedures and tasks that ensure consistent data quality reliability and performance for critical business workloads
Build and maintain Snowflake streams and Snowpipe configurations that enable near real time data ingestion and change data capture with minimal operational overhead
Create and enhance Azure Data Factory pipelines that orchestrate complex data movement and transformation workflows across Snowflake Azure storage and other enterprise systems
Develop Azure Functions using Python and other supported languages that provide event driven data processing automation and integration capabilities for various business applications
Implement robust monitoring logging and alerting within Azure DevOps and related tools to proactively identify performance bottlenecks data issues and platform incidents
Apply secure coding practices data masking techniques and access control policies across Snowflake Azure services and Python components to protect sensitive information and comply with enterprise standards
Collaborate with data architects analysts and product stakeholders to translate functional requirements into detailed technical designs that align with overall data platform strategy
Optimize data models warehouse schemas an
📌 Pyspark + Databricks (Chennai)
🏢 Spore N Sprouts
📍 Chennai
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