Job DescriptionJob Summary
NWe are seeking an experienced Data Engineer (PySpark) to join our Data Engineering team. The ideal candidate will be responsible for designing, developing, and maintaining large-scale data pipelines, data marts, and analytical solutions. The role requires solid expertise in Python, PySpark, SQL, Data Warehousing, and Big Data technologies, along with hands-on experience across the end-to-end Software Development Life Cycle (SDLC).
NKey Responsibilities
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- N
- Design, develop, and maintain scalable ETL pipelines and data processing frameworks. N
- Build and support Data Mart solutions to meet business and analytical requirements. N
- Develop high-quality, maintainable, and efficient code using Python and PySpark. N
- Participate in the complete Software Development Life Cycle (SDLC), including: N
- Requirement Analysis N
- Developmentn
- Unit Testing N
- UAT Supportn
- Defect Fixing N
- Production Deployment N
- Post-Production Support N
- Perform complex data analysis and troubleshoot data-related issues. N




- Debug and optimize PySpark applications for performance and reliability. N
- Write and optimize complex Oracle SQL queries. N
- Work with structured, semi-structured, and unstructured datasets. N
- Implement data quality,validation, and monitoring processes. N
- Collaborate with cross-functional teams to resolve dependencies and ensure timely project delivery. N
- Follow software engineering best practices, coding standards, testing methodologies, and CI/CD processes. N

nRequired Skills & Experience
NData Engineering & Big Data
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- n
- PySparkn
- Apache Spark N
- Hadoop Ecosystemn
- MapReduce N
- Hiven
- ETL Development N
- Data Pipeline Development N
- Data Mart Development N
- Data Warehousingn

NProgramming
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- n
- Python N
- Pandasn
- Jupyter Notebook N

nDatabase Technologies
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- n
- Oracle SQLn
- SQL N
- NoSQL Databasesn
- Query Optimization N
- Data Analysisn

NWorkf

📌 Hiring: Pyspark Data Engineer (Bengaluru)
🏢 Synechron
📍 Bengaluru