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

Deloitte · ✓ Verified company
📍 Bhubaneswar CEC, India · On-site · Full-time

About the role

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.