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Executive | Risk Tech | Pune | Regulatory & Financial Risk Job Details | deloitte body{display:none !important;} if (self === top) { var antiClickjack = document.getElementById("antiClickjack"); antiClickjack.parentNode.removeChild(antiClickjack); } else { top.location = self.location; } We use cookies to offer you the best possible website experience. Your cookie preferences will be stored in your browser’s local storage. This includes cookies necessary for the website's operation. Additionally, you can freely decide and change any time whether you accept cookies or choose to opt out of cookies to improve website's performance, as well as cookies used to display content tailored to your interests. Your experience of the site and the services we are able to offer may be impacted if you do not accept all cookies. 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Location All Function All Clear Select how often (in days) to receive an alert: Create alert form.emailsubscribe-form { display: none; } × Select how often (in days) to receive an alert: Apply now » Job Title: Executive | Risk Tech | Pune | Regulatory & Financial Risk 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: 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: 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. Apply now » Find similar jobs: Deloitte India About Deloitte Deloitte’s global principles of business conduct Opens in a new tab. Deloitte refers to one or more of Deloitte Touche Tohmatsu Limited (“DTTL”), its global network of member firms, and their related entities (collectively, the “Deloitte organization”). DTTL (also referred to as “Deloitte Global”) and each of its member firms and related entities are legally separate and independent entities, which cannot obligate or bind each other in respect of third parties. DTTL and each DTTL member firm and related entity is liable only for its own acts and omissions, and not those of each other. DTTL does not provide services to clients. Please see www.deloitte.com/about to learn more. © 2025. 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Executive | Risk Tech | Pune | Regulatory & Financial Risk

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