Senior Data Engineer

Oracle India Private Limited; Bengaluru; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Oracle India Private Limited in Bengaluru is seeking a Senior Data Engineer to design data models and scalable data pipelines. The role emphasizes data governance, validation, and security across the data lifecycle.

You will build automated pipelines from diverse sources and ensure data quality, reliability, and compliance. In an agile environment, you will collaborate with cross-functional teams to develop, maintain, and optimize data solutions that power business insights, analytics, and

Qualifications

• Designs data models for optimal processing and reporting performance.
• Implements data pipelines for automated, scalable data processing.
• Implements data governance policies to ensure data integrity and compliance.
• Performs rigorous data validation and quality checks throughout pipelines.
• Redacts PII/PHI data to meet privacy and security standards.

Responsibilities

• Planning & Execution: Manages work and timelines to meet requirements.
• Collaboration & Partnership: Works with cross-functional teams to align on goals.
• Problem Solving: Identifies and resolves data issues and anomalies.
• Continuous Learning: Stays updated with industry trends and best practices.
• Continuous Improvement: Proposes improvements to processes and workflows.

Skills

Data modeling

Data pipelines

Data governance

Data validation

Data security

PII/PHI handling

Job description

Senior Data Engineer Designs and develops data models and data pipelines to enable efficient data collection and processing from diverse data sources. Implements data governance policies and procedures for data handling to manage data consistency, integrity, accuracy, security, and reliability. Implements rigorous data validation and integrity checks to support data pipeline and model performance. Designs, develops, and optimizes automated and scalable data pipeline architectures to build data products, independently. Collaborates in an agile development environment to develop, maintain, and debug data solutions that are scalable, efficient, and reliable.

Key Responsibilities

Data Processing & Pipelining – Data Requirements, Collection, and Infrastructure: Analyzes business requirements Analyzes data sources to ensure successful data extraction and pipeline development. Designs data models for optimal data processing and reporting performance. Designs and implements data pipelines for optimal data processing. Conducts comprehensive testing of deliverables to ensure quality, accuracy, and reliability. Identifies, analyzes, and troubleshoots data issues, such as mismatches, refresh errors, and inconsistencies. Analyzes deployment statistics, customer feedback, and platform enhancements to identify and drive product improvements. Data Processing & Pipelining – Data Governance: Implements data governance policies and procedures for data handling (e.g., data retention) to manage data consistency, integrity, accuracy, and reliability throughout the data lifecycle. Redacts Personally Identifiable Information (PII) and Protected Health Information (PHI) data to ensure compliance with data privacy and security standards. Follows data security measures to protect data from unauthorized access, use, disclosure, alteration, or destruction. Ensures data compliance with relevant laws, regulation, and industry standards. Data Processing & Pipelining – Data Validation & Quality Assurance: Implements rigorous data validation and integrity checks, identifying and addressing any data quality issues that could impact data pipeline and model performance. Designs and implements automation of data validation and governance. Data Pipeline and Solutions Engineering – Pipeline Design: Independently designs, develops, and optimizes automated and scalable data pipeline architectures to build data products. Implements appropriate data storage solutions to store the processed data to be used in a scalable and optimized way for access and analysis. Manages the flow of data pipeline and storage day-to-day operations. Data Pipeline and Solutions Engineering – Data Solutions Engineering: Works independently and collaboratively in an agile development environment with other engineers to develop, maintain, and debug data solutions that are scalable, efficient, cost effective, and reliable.

Core Responsibilities

Planning & Execution: Independently manages work, monitoring timelines and deliverables to ensure projects or initiatives stay on track and meet requirements. Proactively prioritizes work and adapts to resource or timeline shifts, suggesting adjustments to maintain project efficiency. Collaboration & Partnership: Collaborates across teams to align on expectations and achieve shared objectives. Builds and maintains a comprehensive understanding of business, stakeholder, and/or customer needs to build and support effective partnerships. Actively listens to diverse perspectives and asks questions to ensure understanding of others. Problem Solving: Independently identifies and addresses standard and non-standard issues in accordance with standard practices, escalating more complex issues as appropriate. Analyzes data and/or information from multiple sources to troubleshoot standard and non-standard errors. Contributes to knowledge sharing and best practices. Continuous Learning: Embraces continuous learning by actively seeking to build knowledge and new skills and/or tools and staying current with industry trends and best practices. Seeks out and leverages feedback and training to improve skills. Contributes to a culture of continuous learning and knowledge sharing with team members. Continuous Improvement: Develops ideas and recommends updates to increase the efficiency and effectiveness of processes, protocols, and workflows within a team. Seeks input from team members on alternative approaches and methods for improving work.

Career Level - IC3 Only

Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life‑saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives. True innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing [e-mail] or by calling 1-888-404-2494 in the United States.

Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Experience Level Senior Level