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We are seeking a Data Engineer with 3 to 5+ years of experience and strong expertise in Snowflake, Oracle GoldenGate, and AWS services.

Key Responsibilities:

• Design scalable and high-performance Snowflake data models using Data Vault methodology.
• Implement Oracle GoldenGate for Big Data and optimize Snowpipe for seamless streaming and ingestion.
• Work with S3, EC2, Lambda, and IAM to deploy secure and scalable data solutions.
• Use SnowShare, implement RBAC, data masking, and encryption protocols.
• Develop and manage automation workflows using tools like GitLab or Jenkins.
• Monitor and fine-tune Snowflake queries, ETL pipelines, and data models.
• Work closely with cross-functional teams and maintain detailed system documentation.

Required Skills:

• Minimum 4 years of experience as a Data Engineer
• Strong command of Snowflake architecture, data modeling, and performance tuning
• Advanced SQL skills for complex queries and transformations
• Hands-on experience with Oracle Golden Gate for Big Data
• Proficient with AWS cloud services (S3, EC2, Lambda, IAM)
• Experience with Snowpipe, CI/CD tools (e.g., Jenkins, GitLab)
• Familiarity with Snowflake Data Vault methodology
• Exposure to Databricks for data processing and analytics
• Programming in Python or Scala
• Experience with Terraform or CloudFormation
• Understanding of data governance and compliance frameworks
• Interest in ML/AI data pipeline integration

Career Growth at Oracle

Joining Oracle as a Snowflake Developer opens doors to long-term career growth including

• Opportunity to work on large-scale enterprise cloud projects
• Exposure to advanced data platforms and AI-driven analytics
• Clear progression paths to Senior Data Engineer, Lead Architect, or Cloud Specialist
• Access to internal learning programs, certifications, and global projects
• A work culture that supports innovation, flexibility, and continuous learning
• Oracle encourages employees to upskill and take ownership of their career paths.

Interview Preparation Tips:

Preparing well for the interview can significantly improve your chances of selection.

• Revise Snowflake Fundamentals
  Be confident with Snowflake architecture, virtual warehouses, clustering, and performance tuning concepts.
• Strengthen SQL Skills
  Practice complex joins, window functions, CTEs, and query optimization scenarios.
• Understand Real-Time Data Flow
  Review how Oracle GoldenGate and Snowpipe work for real-time ingestion and replication.
• Cloud Knowledge Matters
  Be ready to explain how AWS services like S3, Lambda, and IAM integrate with Snowflake.
• CI/CD & Automation Basics
  Understand how Jenkins or GitLab pipelines are used for data engineering workflows.
• Prepare Real Project Examples
  Interviewers value practical experience—be ready to explain challenges you’ve solved.
• Soft Skills Count
  Clear communication and problem-solving approach are as important as technical knowledge.

Interview Process – Oracle Snowflake Developer

The Oracle hiring process for this role typically includes multiple evaluation stages to assess both technical and problem-solving skills.

• Application Review – Shortlisting based on relevant experience in Snowflake, AWS, and data engineering.
• Technical Interview – Focused on Snowflake architecture, SQL queries, data modeling, and cloud integration.
• Hands-On / Scenario Discussion – You may be asked to explain real-world data pipelines, performance optimization, or streaming use cases.
• Managerial / Behavioral Round – Evaluates communication skills, teamwork, and project ownership.
• HR Discussion – Covers role expectations, location preference, and organizational fit.

The interview structure may vary slightly based on experience level and project requirements.

How To Apply :

Apply Here: Official Oracle Career- Snowflake Developer – Mumbai, Bengaluru, Pune

Always apply through the official company website. Do not pay for job applications. This post is for informational purposes only and does not guarantee recruitment.

Frequently Asked Questions (FAQs)

• Is this a full-time role at Oracle?
  Yes, this is a full-time position with Oracle in India.
• What experience level is required?
  Candidates with 3 to 5+ years of relevant experience in Snowflake and data engineering are preferred.
• Is Snowflake experience mandatory?
  Yes, hands-on experience with Snowflake architecture and data modeling is essential for this role.
• Which locations are available?
  This position is open in Mumbai, Bengaluru, and Pune.
• Is AWS knowledge required?
  Yes, working knowledge of AWS services such as S3, EC2, Lambda, and IAM is expected.
• Are certifications required?
  Certifications are beneficial but not mandatory. Practical experience is given higher importance.
• Does Oracle provide training and upskilling opportunities?
  Yes, Oracle supports continuous learning through internal platforms and certification programs.