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

Deloitte -
Chennai, Tamil Nadu

Apply Now

Job details

12 days ago

Qualifications

Data modelling
Oracle
Full-stack development
Big data
Spark
AWS Certification
Java
Master's degree
SQL
AWS
Bachelor's degree
Machine learning
Apache
Analytics

Full 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

Apply Now

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