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Hyderabad · On-site · 5-8 Yrs · Oct 8
Business consulting · 10000+ Employees · New York, US
Deloitte provides industry-leading audit and assurance, tax and legal, consulting, financial advisory, and risk advisory services to nearly 90% of the Fortune Global 500® and thousands of private companies. Our more than 412,000+ professionals deliver measurable and lasting results that help reinforce public trust in capital markets, enable clients to transform and thrive, and lead the way toward a stronger economy, a more equitable society and a sustainable world. Building on its 178-plus year history, Deloitte spans more than 150 countries and territories. Deloitte US-India Offices is part of region within the Deloitte US organization, with offices across seven cities in India — Hyderabad, Mumbai, Delhi-NCR, Bengaluru, Kolkata, Pune and Chennai.
Hiring: Engineering
What employees say
+ Very good hike and bonus. Flexible with respect to timings.
− Extended work hours is the only con.
More reviews on the company profile.
Interview experience · Technology Manager
The interview process typically includes a telephonic screening, two technical rounds, a managerial round, a CA round, and an HR discussion. The process is well-structured and evaluates technical knowledge, problem-solvi
Difficult difficulty · Bengaluru · 8,233 reports
More interview insightsJob description
Overview
Deputy Manager | Data Engineer | Hyderabad | Regulatory & Financial Risk • Job requisition ID : 110869 • Location: Hyderabad • Entity: Deloitte Touche Tohmatsu India LLP
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
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:
- 5-8 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.
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Last updated 29 October 2026
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- Is Deputy Manager | Data Engineer | Hyderabad | Regulatory & Financial Risk remote or on-site in Hyderabad, Telangana?
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