Management Trainee | Risk Tech | Bhubaneswar | Regulatory & Financial Risk

Job requisition ID :: 108657

Date: Jul 16, 2026

Location: Bhubaneswar CEC

Designation: Management Trainee

Entity: Deloitte Touche Tohmatsu India LLP

• *Management Trainee \| Risk Tech \| Bhubaneswar \| Regulatory \& Financial Risk**

• **Job requisition ID** : 108657
• **Location**: Bhubaneswar CEC
• **Entity**: Deloitte Touche Tohmatsu India LLP

• *The team**

Deloitte Strategy, Risk \& Transaction helps entities mitigate risk while discovering new opportunities to create value. Our end\-to\-end risk services span all domains, from managing strategic risks in the C\-Suite to improving board oversight, and from balancing financial and environmental policies to addressing cyber threats.**Learn more about Risk, Regulatory \& Forensic**)

• *Your work profile**

• We are looking for a skilled Senior Developer with strong expertise in PySpark to design, build, and maintain scalable data processing solutions.
• The ideal candidate will have experience working across the data engineering stack, strong knowledge of distributed computing, and hands\-on exposure to SDLC\-based project development.
• We are seeking an experienced Python Backend Developer to design, build, and maintain scalable backend systems and APIs.
• The ideal candidate has strong expertise in Python frameworks, database design, and backend performance optimization.
• We are looking for a DevOps Engineer to build, automate, and maintain scalable, secure, and highly available infrastructure.
• The ideal candidate has strong experience in cloud platforms, CI/CD automation, and modern DevOps practices.

• *Key Responsibilities:**

• Design, develop, and optimize large\-scale data pipelines using PySpark.
• Build and maintain ETL/ELT workflows to process structured and unstructured data.
• Work with big data technologies such as Hadoop ecosystem, Spark, and Impala.
• Collaborate with cross\-functional teams including data scientists, analysts, and product teams.
• Ensure code quality through best practices, code reviews, and version control.
• Optimize job performance, memory management, and execution time in Spark jobs.
• Work on data modeling, transformation, and pipeline orchestration.
• Participate in end\-to\-end SDLC activities including requirement analysis, design, development, testing, and deployment.
• Troubleshoot and resolve data processing issues and production incidents.
• Contribute to automation, monitoring, and logging frameworks.
• Required Skills and Qualifications:
• Strong hands\-on experience with Python and PySpark (mandatory).
• Strong SQL skills including advanced querying and performance tuning.
• Experience with distributed data systems such as Hadoop and Spark ecosystem.
• Experience with Impala, Hive, and SQL Server or other relational databases.
• Strong understanding of data structures, algorithms, and performance optimization.
• Experience with ETL pipeline development and data warehousing concepts.
• Knowledge of SDLC methodologies (Agile/Scrum preferred).
• Familiarity with version control systems such as Git.
• Experience working with large datasets in production environments.
• Knowledge of C\# or other programming languages.
• Experience with cloud platforms such as Azure, AWS, or GCP.
• Exposure to workflow orchestration tools like Airflow or Oozie.
• Understanding of data lakes, data governance, and data quality frameworks.
• Experience with CI/CD pipelines.
• Strong analytical and problem\-solving abilities.
• Good communication and collaboration skills.
• Ability to work independently and in a fast\-paced environment.
• Proactive mindset with attention to detail.
• Preferred Candidate Profile:
• 0\-1 Years of Hands\-on PySpark developer with real\-time project delivery experience.
• Bacheler’s degree in any specialization
• Exposure to end\-to\-end data pipeline lifecycle.
• Comfortable handling large\-scale data processing and optimization challenges.