Executive | Risk Tech | Pune | Regulatory & Financial Risk

- Job requisition ID : 108770
- Location: Pune
- 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:
- Solid 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:
- 1-2 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.

📌 Executive | Risk Tech | Pune | Regulatory & Financial Risk
🏢 Deloitte
📍 Pune