Data Engineer – Oracle Customer Success Services (CSS)
InfoBeans (company site, opens in a new tab)8+ yrsNoidaOn-siteDirect career pageEst. 22–35 LPA
Posted on 2 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and operationalize scalable AI-ready data pipelines and platforms on Oracle AI Data Platform and Oracle Cloud Infrastructure.
- Collaborate with enterprise customer technical teams and Oracle product teams to modernize data estates and accelerate Generative AI adoption.
- Develop, optimize, and refactor PySpark and ETL workloads, and build APIs, SDKs, and automation frameworks to facilitate Oracle AI/data services adoption.
Minimum Requirements
- 5 to 8 years of experience in data engineering, software engineering, or AI engineering with scalable data platform delivery.
- Strong hands-on skills with Apache Spark, PySpark, Delta Lake, Python, SQL, and cloud data platforms (Databricks experience preferred).
- Deep knowledge of Spark architecture, distributed systems, performance tuning, and ETL workload refactoring.
- Location: Not explicitly mentioned; role locations include Hyderabad, Bangalore, Pune, Noida, Bengaluru, Mumbai, Chennai, Hyderabad.
Ideal Candidate Profile
- Experienced in customer-facing consulting roles collaborating with enterprise technical and product teams in AI and cloud modernization.
- Skilled in designing architectures for Lakehouse, Medallion, streaming, and real-time analytics with advanced data engineering technologies.
- Familiar with DataOps, CI/CD, Infrastructure as Code, data security, governance, and has preferred OCI certifications and exposure to Generative AI/ML tools like LLMs, RAG, and MLOps.