Data Engineer

Oracle Corporation; Bengaluru; On-site; INR 2,000,000 - 3,600,000; Full time

Job summary

Oracle Corporation is seeking Data Engineers to design, build, and operate scalable data platforms and AI-driven data solutions on Oracle AI Data Platform (AIDP) and Oracle Cloud Infrastructure (OCI). This customer-facing role will collaborate with Oracle product teams, solution architects, and customer engineers to deliver secure, high-performing production solutions.

You will develop AI-ready data pipelines, modernize analytics workloads, and contribute to reusable migration accelerators while

Qualifications

• 5–8 years of experience designing, building, and delivering scalable data platforms.
• Proven experience as a Data Engineer, Software Engineer, AI Engineer, or similar technical role.
• Strong knowledge of modern cloud data platforms like Databricks.

Responsibilities

• Design and deliver Oracle AI Data Platform solutions, including platform implementations and migrations.
• Build scalable, governed, AI-ready data pipelines and services for data consolidation, integration, and transformation.
• Develop Lakehouse, Medallion, streaming, and real-time analytics on OCI using Spark, PySpark, Delta Lake, Parquet, Flink, and distributed-systems patterns.
• Develop AI/ML data pipelines including feature engineering and MLOps workflows.
• Refactor PySpark and ETL workloads to optimize Spark configuration, memory, and performance.

Skills

PySpark

Spark

Delta Lake

Python

SQL

Databricks

DataOps

CI/CD

Networking

Tools

Databricks

Oracle AI Data Platform

Apache Spark

Flink

Job description

• Does this position require a security clearance? No
• Years 10+ years
• Additional Info Visa / work permit sponsorship is not available for this position
• Applicants are required to read, write, and speak the following languages English

Job Description

CSS Innovation Studios is seeking Data Engineers with strong PySpark and data engineering expertise to deliver AI and data-transformation programs for Oracle's enterprise customers.

In this customer-facing role, you will design, build, modernize, and operationalize scalable data platforms and AI-driven data solutions on Oracle AI Data Platform (AIDP) and Oracle Cloud Infrastructure (OCI). You will collaborate with customer technical teams, solution architects, engineering leaders, and Oracle product teams to accelerate AI adoption, modernize data estates, and deliver secure, high-performing production solutions.

The role combines hands-on software and data engineering with technical consulting. You will develop scalable systems for generative AI, large language models, real-time analytics, and modern data workloads; support platform implementations and migrations; and partner with architects, product managers, and engineers to apply Oracle product capabilities in customer deployments.

• 5-8 years of experience designing, building, and delivering scalable data platforms.
• Proven experience as a Data Engineer, Software Engineer, AI Engineer, Consulting Engineer, or similar technical role.
• Strong knowledge of modern cloud data platforms like Databricks.
• Strong hands-on experience with Apache Spark, PySpark, Delta Lake, Python, SQL, and modern data ecosystems; experience with Scala, Java, or Kafka is a plus.
• Exposure to building AI agents and orchestration pipelines.
• Strong understanding of Spark architecture, configuration, distributed systems, performance optimization, and tuning.
• Experience modernizing analytics platforms and refactoring Spark and ETL workloads.
• Working understanding of networking concepts to support data connectivity, configuration, and troubleshooting.
• Working knowledge of DataOps, CI/CD, Infrastructure as Code, data security, governance, metadata, lineage, and observability.
• Strong communication, customer collaboration, and stakeholder-management skills.

Responsibilities

Design and deliver Oracle AI Data Platform solutions, including platform implementations and migrations.

• Build scalable, governed, AI-ready data pipelines, software components, and services for data consolidation, integration, transformation, and data products.
• Develop Lakehouse, Medallion, streaming, and real-time analytics solutions on OCI using Spark, PySpark, Delta Lake, Parquet, Flink, and distributed-systems patterns.
• Build AI/ML and Generative AI data pipelines, including feature engineering, feature extraction, MLOps workflows, and vector-ready datasets.
• Assess and modernize workloads by refactoring PySpark and ETL code and optimizing Spark configuration, partitioning, memory, adaptive query execution, reliability, and performance.
• Develop APIs, SDKs, web applications, and automation frameworks that simplify adoption of Oracle AI Data Platform and Generative AI services.
• Contribute to reusable migration accelerators, reference architectures, automation frameworks, and delivery methodologies.
• Contribute to engineering excellence across CSS and continuously evaluate emerging AI, cloud, and data-engineering practices.

Required Skills

• Data Science
• Oracle AI Data Platform

About Us

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.

Request a referral from an Oracle employee.