Manager | Data Engineer | Chennai | Regulatory & Financial Risk
Deloitte (company site, opens in a new tab)5–8 yrsChennaiOn-siteDirect career pageEst. 18–30 LPA
Posted on 10 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and optimize large-scale data pipelines and ETL/ELT workflows using PySpark and big data technologies.
- Build and maintain scalable backend systems and APIs with Python, ensuring code quality and performance optimization.
- Participate in end-to-end SDLC activities including requirement analysis, development, testing, deployment, and troubleshooting production incidents.
Minimum Requirements
- 5-8 years of hands-on experience as a PySpark developer with real-time project delivery experience.
- Strong expertise in Python, PySpark, and SQL with advanced querying and performance tuning skills.
- Experience with Hadoop ecosystem, Spark, Impala, Hive, and relational databases such as SQL Server.
- Bachelor’s degree in any specialization.
Ideal Candidate Profile
- Experienced in handling large-scale data processing, pipeline lifecycle management, and performance optimization challenges.
- Proficient in distributed data systems and cloud platforms (Azure, AWS, or GCP).
- Familiar with SDLC methodologies (Agile/Scrum), version control (Git), and CI/CD pipelines.