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Java + Snowflake Developer

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Onsite

Java + Snowflake Developer

Gforce Consulting Solutions

Java + Snowflake Developer

Skills

Data MiningJavaSnowflakeData AnalysisCompliance

3 years ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

14 October 2026

What they need


GForce Consulting Solutions is looking for Java + Snowflake Developer to join our dynamic team and embark on a rewarding career journey

  • This role involves collaborating with cross-functional teams to implement scalable and efficient solutions for data processing and analytics

Key Responsibilities:

  • Software Development:Design and implement Java-based applications for data processing and integration
  • Develop and maintain code for data extraction, transformation, and loading (ETL) processes
  • Snowflake Data Warehousing:Utilize Snowflake data warehousing platform for data storage, retrieval, and analytics
  • Design and implement Snowflake database objects, such as tables, views, and stored procedures
  • Integration and APIs:Integrate Java applications with Snowflake using appropriate APIs and connectors
  • Implement RESTful APIs for data access and manipulation
  • Database Design and Optimization:Collaborate with database administrators to design and optimize database schema for performance
  • Implement indexing, partitioning, and other strategies for efficient data storage and retrieval
  • Performance Monitoring and Tuning:Monitor and analyze the performance of Java applications and Snowflake databases
  • Implement optimizations and enhancements to improve overall system performance
  • Data Security and Compliance:Implement security measures to protect sensitive data in transit and at rest
  • Ensure compliance with data governance policies and industry regulations
  • Documentation:Create and maintain technical documentation for Java code, Snowflake configurations, and system architecture
  • Provide documentation for troubleshooting, deployment, and maintenance procedures
  • Collaboration:Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and use cases
  • Work closely with the IT and DevOps teams to ensure seamless integration and deployment

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