Job Description
Job 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 robust 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).
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n Key Responsibilities
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- 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 Analysisn
- Developmentn
- Unit Testingn
- UAT Supportn
- Defect Fixingn
- Production Deploymentn
- Post-Production Supportn
- 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

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n Required Skills & Experience
nData Engineering & Big Data
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- PySparkn
- Apache Sparkn
- Hadoop Ecosystemn
- MapReducen
- Hiven
- ETL Developmentn
- Data Pipeline Developmentn
- Data Mart Developmentn
- Data Warehousingn

n Programming
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- Pythonn
- Pandasn
- Jupyter Notebookn

n Database Technologies
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- Oracle SQLn
- SQLn
- NoSQL Databasesn
- Query Optimizationn
- Data Analysisn

n Workflow & Automation
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📌 Pyspark Data Engineer (Bengaluru)
🏢 Synechron
📍 Bengaluru