Data Engineer

Oracle's CSS Innovation Studios is seeking a customer-facing Data Engineer with strong PySpark and data engineering expertise to design, build, and operationalize scalable AI and data-transformation platforms on Oracle AI Data Platform and Oracle Cloud Infrastructure. In this hands-on consulting role, you will collaborate with enterprise customer technical teams, architects, and product engineering to accelerate Gen AI adoption, modernize data estates, and deploy high-performing data pipelines.

What will your role look like

• Design and deliver Oracle AI Data Platform solutions, including platform implementations, migrations, and architecture reviews.
• Build scalable, governed, AI-ready data pipelines and software components for Lakehouse, Medallion, streaming, and real-time analytics using PySpark, Delta Lake, Parquet, and Flink on OCI.
• Develop AI/ML and Generative AI data pipelines, encompassing feature engineering, vector-ready datasets, AI agents, and MLOps workflows.
• Assess, modernize, and refactor existing PySpark and ETL workloads while optimizing Spark configuration, partitioning, memory, and performance.
• Build APIs, SDKs, web applications, automation frameworks, and reusable migration accelerators to simplify adoption of Oracle AI and data services.
• Partner with senior architects and customer technical teams, participating in innovation workshops and sharing field feedback directly with Oracle product teams.

Why you will love this role

• Work at the forefront of AI and cloud modernization within Oracle's CSS Innovation Studios.
• Opportunity to collaborate directly with global enterprise customers, product management, and leading engineering teams.
• Engage with cutting-edge technologies including Generative AI, LLMs, RAG, vector databases, and modern cloud data architectures.

We would like you to bring along

• 5 to 8 years of experience designing, building, and delivering scalable data platforms in roles such as Data Engineer, Software Engineer, or AI Engineer.
• Strong hands-on experience with Apache Spark, PySpark, Delta Lake, Python, SQL, and modern cloud data platforms like Databricks (Scala, Java, or Kafka experience is a plus).
• Deep understanding of Spark architecture, distributed systems, performance tuning, and refactoring ETL workloads.
• Working knowledge of DataOps, CI/CD, Infrastructure as Code, data security, networking, governance, and metadata observability.
• Strong communication, customer collaboration, and stakeholder-management skills.
• Preferred OCI certifications (Architect, Data Engineering, Data Science, or AI) and exposure to LLMs, RAG, vector databases, and MLOps frameworks.

About us

InfoBeans, founded in 2000, is a publicly listed company on the NSE & BSE in India, specializing in AI-first software development and implementation for enterprise clients to solve complex business challenges. We strive to deliver value-accretive services over the long term, working as an extension of our clients' teams.

We are 1700+ members across our offices in India, the USA, Europe, and the Middle East. We believe that InfoBeans is our team's second home and work hard every day to build a culture that fosters collaboration and excellence. InfoBeans Foundation, our CSR arm, helps underprivileged sections of society become employable through our free one-year training programs.

Creating WOW! is not just a tagline for us; it's our religion!