Senior Team Lead | ET&P - Oracle | Oracle JAVAFS

Job description

Job requisition ID :: 105573 Date: Jun 12, 2026 Location: Chennai Designation: Senior Consultant Entity: Deloitte Shared Services India LLP **Senior Team Lead | ET&P - Oracle | Oracle JAVAFS** - **Job requisition ID** : 105573 - **Location**: Chennai - **Entity**: Deloitte Shared Services India LLP **Senior Team Lead |** **ET&P – Oracle | Oracle JAVAFS** **Location: Chennai/Pune** **The team** Enterprise technology has to do much more than keep the wheels turning; it is the engine that drives functional excellence and the enabler of innovation and long-term growth.Learn more about ET&P **Your work profile** As a Java Fullstack Developer, the opportunity to work on impactful projects and contribute to the organization's data-driven decision-making process. You will play a key role in designing, developing, and implementing complex software solutions. Which further includes: - Java and Microservices Development: You will be required to do as follows. - 4to 7 years of proven experience in Full Stack Java Development. - Experience with Spark Structured Streaming and real time analytics. - Knowledge of Delta Lake, Iceberg, or other lakehouse formats. - Proficiency in SQL and data modeling for analytical workloads. - Familiarity with machine learning pipelines (Spark MLlib, MLeap) & serving models. - Exposure to data governance tools (Apache Atlas, AWS Lake Formation). - Certifications: AWS Certified Big Data – Specialty, Google Professional Data Engineer, Databricks Certified Associate. **Key skills Required:** - Education – Any Bachelor’s or master’s graduates. - 4 to 7 years of proven experience in Full Stack Java Development. - Experience with Spark Structured Streaming and real time analytics. - Knowledge of Delta Lake, Iceberg, or other lakehouse formats. - Proficiency in SQL and data modeling for analytical workloads. - Familiarity with machine learning pipelines (Spark MLlib, MLeap) & serving models. - Exposure to data governance tools (Apache Atlas, AWS Lake Formation). - Certifications: AWS Certified Big Data – Specialty, Google Professional Data Engineer, Databricks Certified Associate. Ability to provide direction and leadership to others