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Snowflake Developer with Oracle GoldenGate/Data Engineer Careers in India – Oracle Finergy
The global financial industry is undergoing a massive digital transformation, powered by cloud data platforms, real-time processing, and advanced analytics. Organizations need robust, scalable, and secure data solutions to drive business efficiency and innovation. One of the most in-demand roles supporting this shift is that of a Snowflake Developer with Oracle GoldenGate/Data Engineer.
Oracle’s Finergy division within FSGIU is at the forefront of this evolution, delivering cutting-edge solutions tailored to the Banking, Financial Services, and Insurance (BFSI) sector. With its expertise in Snowflake, Oracle GoldenGate, AWS cloud services, and CI/CD data pipelines, Finergy empowers financial institutions to modernize operations, achieve compliance, and unlock new insights from their data.
This article highlights a career opportunity for skilled Snowflake Developers and Data Engineers at Oracle Finergy, based in Mumbai, Bengaluru, and Pune.
About Oracle Finergy – Driving BFSI Transformation
The Finergy division of Oracle FSGIU is dedicated to reshaping the BFSI landscape. With proven methodologies, end-to-end solutions, and deep industry expertise, Finergy enables clients to deploy scalable banking solutions that improve operational efficiency while aligning technology with strategic business goals.
Through personalized consulting and integrated platforms, Oracle Finergy ensures that banks, insurers, and investment firms can:
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Manage complex financial operations efficiently.
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Build customer loyalty through personalized experiences.
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Innovate with cloud-first, secure, and compliant architectures.
Role Overview – Snowflake Developer with Oracle GoldenGate/Data Engineer
The role of a Snowflake Developer with Oracle GoldenGate/Data Engineer is ideal for professionals with 3 to 5+ years of experience in modern data engineering. It requires technical expertise in Snowflake architecture, SQL optimization, real-time replication with Oracle GoldenGate, and AWS cloud integration.
As part of the Finergy consulting team, candidates will design, develop, and optimize data pipelines, models, and architectures that deliver real-time, business-ready insights. This role also emphasizes collaboration, problem-solving, and innovation, making it perfect for engineers who thrive in dynamic environments.
Key Responsibilities
The responsibilities of this role span across multiple aspects of data engineering, integration, and performance optimization:
1. Snowflake Data Modeling & Architecture
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Design and implement scalable data models in Snowflake.
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Apply best practices such as the Snowflake Data Vault methodology.
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Ensure performance, scalability, and compliance with enterprise requirements.
2. Real-Time Data Replication & Ingestion
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Leverage Oracle GoldenGate for Big Data to manage real-time data streaming.
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Configure and optimize Snowpipe for automated, continuous data ingestion.
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Ensure low-latency and accurate data flow from multiple sources.
3. Cloud Integration & Management
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Work with AWS services (S3, EC2, Lambda, IAM) to build and manage Snowflake-based solutions.
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Integrate Snowflake with enterprise applications and cloud-native services.
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Implement hybrid cloud models for flexibility and resilience.
4. Data Sharing & Security
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Use SnowShare for secure, controlled data sharing across teams and partners.
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Implement role-based access control (RBAC), data masking, and encryption for compliance.
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Align with data governance best practices to safeguard sensitive information.
5. CI/CD Implementation
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Develop and maintain CI/CD pipelines for Snowflake deployments.
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Automate ETL/ELT workflows using tools like Jenkins or GitLab.
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Ensure consistency, version control, and rapid deployment of updates.
6. Collaboration & Troubleshooting
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Partner with cross-functional teams to resolve data challenges.
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Troubleshoot issues with data ingestion, replication, or performance bottlenecks.
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Collaborate with business stakeholders to ensure solutions align with requirements.
7. Documentation & Knowledge Sharing
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Maintain comprehensive documentation for data architectures, ETL processes, and Snowflake configurations.
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Share best practices with internal teams and clients.
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Contribute to organizational knowledge management.
8. Performance Optimization
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Monitor and fine-tune Snowflake queries and pipelines.
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Implement strategies for query optimization and cost efficiency.
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Proactively address bottlenecks, latency, and resource utilization.
Required Skills & Qualifications
To qualify for this position, candidates should demonstrate:
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4+ years of data engineering experience.
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Strong expertise in Snowflake architecture, query optimization, and data modeling.
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Proficiency in SQL for complex queries.
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Hands-on experience with Oracle GoldenGate for Big Data (real-time replication).
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Practical knowledge of Snowpipe for data ingestion.
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Familiarity with AWS cloud services – S3, EC2, Lambda, IAM.
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Experience in CI/CD tools (Jenkins, GitLab, Azure DevOps).
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Working knowledge of the Snowflake Data Vault methodology.
Good-to-Have Skills
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Exposure to Databricks for advanced analytics.
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Knowledge of Python or Scala for data engineering tasks.
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Experience with Terraform or CloudFormation for Infrastructure as Code (IaC).
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Familiarity with machine learning/AI integration in pipelines.
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Understanding of data governance and compliance frameworks.
Self-Assessment Questions for Candidates
Oracle Finergy encourages candidates to reflect on the following before applying:
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Have I designed and optimized Snowflake data models?
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Am I confident in setting up and managing real-time replication using Oracle GoldenGate?
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Do I have hands-on experience with Snowpipe automation?
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Am I proficient in SQL query optimization within Snowflake?
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Have I integrated Snowflake with AWS services successfully?
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Have I implemented CI/CD pipelines for Snowflake development and deployment?
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Can I troubleshoot performance bottlenecks effectively?
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Do I maintain documentation and follow best practices for team collaboration?
Why Join Oracle Finergy?
Working with Oracle Finergy provides a unique opportunity to develop cutting-edge data solutions while contributing to global BFSI transformation.
Benefits of the Role:
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Exposure to BFSI innovation – Shape data strategies for banks, insurers, and financial institutions.
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Cloud-first career growth – Gain hands-on experience with Snowflake, Oracle GoldenGate, and AWS.
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Global collaboration – Work with diverse teams across regions.
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Continuous learning – Stay ahead with new technologies like Databricks, ML, and AI.
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Inclusive culture – Be part of Oracle’s commitment to diversity, equity, and accessibility.
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Comprehensive benefits – Competitive medical, life, and retirement options.
Career Level – IC2
This role is categorized under IC2 (Individual Contributor), offering candidates the ability to independently contribute technical expertise while collaborating globally within Oracle’s consulting ecosystem.
Final Thoughts
The Snowflake Developer with Oracle GoldenGate/Data Engineer role at Oracle Finergy is a high-impact opportunity for professionals eager to advance their careers in cloud data engineering, real-time replication, and BFSI solutions.
This role requires a mix of technical mastery, problem-solving, and cross-team collaboration, making it ideal for ambitious engineers who want to contribute to Oracle’s mission of transforming financial services.
If you are passionate about Snowflake, Oracle GoldenGate, AWS cloud, and modern data pipelines, this career path offers both growth and global recognition.