Overview

Oracle is seeking a highly skilled Senior Big Data Engineer based in India to design, develop, and manage enterprise-grade data integration solutions. The ideal candidate will have extensive experience with ETL/ELT processes, API-driven integrations, and enterprise data platforms. Join Oracle to drive innovation in big data technologies and deliver scalable solutions for global clients.

Responsibilities

• Design and implement scalable ETL/ELT pipelines for large-scale data processing.
• Develop and optimize API-driven data integrations across hybrid cloud environments.
• Build and maintain enterprise data platforms using tools like Oracle Data Integrator and GoldenGate.
• Collaborate with cross-functional teams to define data architecture and integration strategies.
• Perform data modeling, transformation, and quality assurance for big data workloads.
• Troubleshoot and resolve complex data integration issues in production systems.
• Implement monitoring, alerting, and performance tuning for data pipelines.
• Mentor junior engineers and contribute to best practices in data engineering.

Qualifications

• Bachelor's/Master's degree in Computer Science, Engineering, or related field.
• 5+ years of experience in big data engineering with ETL/ELT tools (e.g., Informatica, Talend, ODI).
• Proficiency in SQL, Python, Java, and big data technologies (Hadoop, Spark, Kafka).
• Strong experience with cloud platforms (Oracle Cloud, AWS, Azure) and API integrations (REST/SOAP).
• Knowledge of data warehousing, streaming data, and real-time processing.
• Excellent problem-solving skills and ability to work in fast-paced environments.

Benefits

• Competitive salary and performance-based bonuses.
• Comprehensive health insurance and wellness programs.
• Flexible work arrangements and remote options.
• Professional development with Oracle University training.
• Generous paid time off and employee stock purchase plan.