19 days ago
Bengaluru, IndiaSenior
Responsibilities
- Design and deliver Oracle AI Data Platform solutions, including implementations and migrations.
- Build scalable, governed, AI-ready 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.
- Refactor and optimize PySpark and ETL workloads, including 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 migration accelerators, reference architectures, automation frameworks, delivery methodologies, and engineering excellence initiatives.
- Collaborate with customer technical teams, solution architects, engineering leaders, product teams, and other stakeholders.
Requirements
- 5–8 years of experience designing, building, and delivering scalable data platforms.
- Experience as a Data Engineer, Software Engineer, AI Engineer, Consulting Engineer, or similar technical professional.
- Strong knowledge of modern cloud data platforms such as Databricks.
- Hands-on experience with Apache Spark, PySpark, Delta Lake, Python, SQL, and modern data ecosystems.
- Experience with Scala, Java, or Kafka is preferred.
- 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 for 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.
Benefits
- Flexible medical, life insurance, and retirement options are provided.
- Employees are encouraged to participate in community volunteer programs.
Tech Stack
Categories
Data Engineering
About Oracle
Oracle builds database technology, enterprise applications, and Oracle Cloud Infrastructure for companies and governments. Its business spans cloud subscriptions, software licenses, and support services across ERP, HCM, CX, and industry suites, plus NetSuite. Founded in 1977 and headquartered in Austin, Texas, Oracle is a public company traded on the NYSE and serves global customers migrating and running critical workloads in its cloud.